CN109005318A - A kind of bionical vision system improving brightness of image - Google Patents
A kind of bionical vision system improving brightness of image Download PDFInfo
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Abstract
Description
技术领域technical field
本发明涉及仿生视觉技术领域,特别涉及一种提高成像亮度的仿生视觉系统。The invention relates to the technical field of bionic vision, in particular to a bionic vision system for improving imaging brightness.
背景技术Background technique
人类利用自己的眼睛从周围的环境中获取图像信息来认识这个纷繁的世界,准确地观察和识别物体需要足够的亮度,但是由于人眼的视网膜结构感光敏感度不高,在微光情况下不能充分“曝光”,所以造成人眼在夜晚等微光的环境中不能准确观察和识别物体。随着人工照明系统技术的进步与发展,在很大程度上改善了微光环境,但是依旧不能做到何时何地都夜如白昼,例如夜间出行,与白天相比较光线还是非常昏暗。此外并不是所有情形都需要足够的光亮,例如传统胶片的冲洗则需要一间密不透光的暗房;一些光学实验的进行也需要在暗环境下进行,因为周围的杂散光会很大程度上影响实验结果;夜战是一种军事上常用的利用黑暗环境条件消灭敌人的有效战法,需要在黑暗环境中准确识别敌人,这一些特殊情况需要在暗环境下进行,同时还需要准确的观察和识别物体。Humans use their eyes to obtain image information from the surrounding environment to understand this complicated world. Accurate observation and recognition of objects requires sufficient brightness. However, due to the low light sensitivity of the retinal structure of the human eye, it cannot Sufficient "exposure", so the human eye cannot accurately observe and identify objects in low-light environments such as night. With the advancement and development of artificial lighting system technology, the low-light environment has been greatly improved, but it is still not possible to make the night as bright as day anytime and anywhere. For example, when traveling at night, the light is still very dim compared with daytime. In addition, not all situations require sufficient light. For example, the development of traditional film requires an airtight darkroom; some optical experiments also need to be carried out in a dark environment, because the surrounding stray light will largely Affect the experimental results; night combat is an effective method of using dark environment conditions to eliminate the enemy commonly used in the military. It is necessary to accurately identify the enemy in a dark environment. These special situations need to be carried out in a dark environment, and accurate observation and observation are also required. Identify objects.
人类渴望在微光环境中观察和识别物体,随着光电技术的发展,人们借助于光电成像器件研制微光夜视设备。微弱的自然光经由目标表面放射,进入夜视仪,在强光力物镜作用下聚焦于像增强器的光阴极面(与物镜后焦面重合),激发出光电子;光电子在像增强器内部电子光学系统的作用下被加速、聚焦、成像,以及高的速度轰击像增强器的荧光屏,并激发出足够强的可见光,从而把一个只被微弱自然光照明的远方目标变成适于人眼观察的可见光图像,经过目镜的进一步放大,实现了微光环境观察和识别目标。专利申请号2016107322240《一种军用仿强光微光夜视仪》中的微光夜视仪包括机身、镜头、目镜和物镜。机身内部设置像增强器,实现了微光条件下图像显示;物镜上安装滤强光镜,更加灵活的抵抗强光,适应了战场的需求。目前这种传统微光夜视技术主要应用在夜间侦查、照相、观测瞄准、成像制导、预警、火控、导航、车辆驾驶、野战修理、工程抢险以及战地救援等多方面军事领域;卫星的遥感、遥测天文星系、弱星的夜间观察等天文领域。Humans are eager to observe and identify objects in low-light environments. With the development of photoelectric technology, people have developed low-light night vision equipment with the help of photoelectric imaging devices. Weak natural light radiates through the target surface, enters the night vision device, and focuses on the photocathode surface of the image intensifier (coinciding with the rear focal plane of the objective lens) under the action of the strong optical objective lens to excite photoelectrons; Under the action of the system, it is accelerated, focused, imaged, and bombards the fluorescent screen of the image intensifier at a high speed, and excites enough visible light to turn a distant target illuminated by weak natural light into visible light suitable for human eyes. The image is further magnified by the eyepiece to realize low-light environment observation and target identification. The low-light night vision device in the patent application number 2016107322240 "A Military Imitation Strong Light Low-light Night Vision Device" includes a fuselage, a lens, an eyepiece and an objective lens. An image intensifier is installed inside the fuselage to realize image display under low-light conditions; a strong light filter is installed on the objective lens to resist strong light more flexibly and meet the needs of the battlefield. At present, this traditional low-light night vision technology is mainly used in many military fields such as night reconnaissance, photography, observation and aiming, imaging guidance, early warning, fire control, navigation, vehicle driving, field repair, engineering rescue and field rescue; satellite remote sensing , telemetry astronomical galaxy, night observation of weak stars and other astronomical fields.
目前传统的微光夜视设备原理复杂、结构紧密,不够便携,同时传统微光夜视技术依赖于光电物理材料的属性以及图像处理算法处理时间和精度,成本高、消耗功率,应用环境不够广泛。At present, the principle of traditional low-light night vision equipment is complex, the structure is compact, and it is not portable enough. At the same time, the traditional low-light night vision technology relies on the properties of photoelectric physical materials and the processing time and accuracy of image processing algorithms. The cost is high, power consumption is high, and the application environment is not wide enough. .
基于仿生学的视觉系统理论近年来发展迅速,它是集光学、电学、机械学、生物学、计算机和信息学等多学科为一体的前沿领域。自然界中生物视觉系统拥有奇特的视觉系统构造和视网膜皮层映射机制,与人类视觉系统相比较,具有视场广泛、对运动目标敏感、分辨率调节迅速、成像亮度高、微光响应强等特点,能够准确的观察和识别物体。专利申请号2013106935200《基于多微面光纤面板的多视场仿生复眼微光成像系统》设计仿复眼视觉系统实现了一种小型化、轻量化、大视场的微光夜视成像观察系统。专利申请号2016110472826《一种基于仿生视觉机理的水下偏振图像融合系统》仿螳螂虾视觉偏振感知机理提取水下偏振图像,有效的改善水下偏振图像的清晰度和对比度,有利于水下目标的检测和分析。专利申请号2017104006246《一种基于仿生视觉机理的电子复眼系统》仿果蝇复眼的视觉系统机理,应用于高速目标识别、追踪等高端领域。在微光环境中准确观察和识别物体能力上,由于象鼻鱼视觉系统中独特的视网膜结构,人眼的微光响应能力远不及象鼻鱼的视觉系统。本发明则模拟象鼻鱼视觉系统中视网膜结构,提出了一种提高成像亮度的仿生视觉系统,该系统是一种全新的提高成像亮度的光学设计,原理简单、结构简单、方法独立、质量轻体积小、使用环境广泛,能有效的提高成像亮度,增强微光响应。The visual system theory based on bionics has developed rapidly in recent years. It is a frontier field integrating optics, electricity, mechanics, biology, computer and informatics. The biological visual system in nature has a unique visual system structure and retinal cortex mapping mechanism. Compared with the human visual system, it has the characteristics of wide field of view, sensitivity to moving targets, rapid resolution adjustment, high imaging brightness, and strong low-light response. Can accurately observe and identify objects. Patent application number 2013106935200 "Multi-field bionic compound eye low-light imaging system based on multi-microfacet optical fiber panel" designed a compound eye-like vision system to realize a miniaturized, lightweight, and large field of view low-light night vision imaging observation system. Patent application number 2016110472826 "An Underwater Polarization Image Fusion System Based on Bionic Vision Mechanism" imitates the visual polarization perception mechanism of mantis shrimp to extract underwater polarization images, effectively improving the clarity and contrast of underwater polarization images, which is beneficial to underwater targets detection and analysis. Patent application number 2017104006246 "An Electronic Compound Eye System Based on Bionic Vision Mechanism" imitates the visual system mechanism of fruit fly compound eyes and is applied to high-end fields such as high-speed target recognition and tracking. In terms of the ability to accurately observe and recognize objects in a low-light environment, due to the unique retinal structure in the elephant trunk fish's visual system, the low-light response ability of the human eye is far inferior to that of the elephant trunk fish's visual system. The present invention simulates the retinal structure in the elephant trunk fish visual system, and proposes a bionic visual system that improves imaging brightness. This system is a brand-new optical design that improves imaging brightness. It has simple principle, simple structure, independent method and light weight. Small in size and widely used in a wide range of environments, it can effectively improve imaging brightness and enhance low-light response.
发明内容Contents of the invention
针对人类视觉系统微光响应弱的现状,以及传统微光夜视技术原理复杂、结构紧密、质量重体积大、应用环境有限、过度依赖光电系统中物理材料属性和图像处理算法的局限性,本发明提出一种提高成像亮度的仿生视觉系统,利用复合抛物面聚光器阵列构成的仿生微光图像增强器,实现成像亮度的提高。In view of the weak low-light response status of the human visual system, and the traditional low-light night vision technology’s complex principle, compact structure, heavy weight and large volume, limited application environment, and over-reliance on the limitations of physical material properties and image processing algorithms in optoelectronic systems, this paper The invention proposes a bionic vision system that improves imaging brightness, and uses a bionic low-light image intensifier composed of a compound parabolic concentrator array to realize the improvement of imaging brightness.
本发明的一种提高成像亮度的仿生视觉系统,该系统包括依次连接的光源1、光学成像系统2、仿生微光图像增强器3和后置处理系统4,其中:所述后置处理系统4还包括平面CCD图像传感器41、计算机处理单元42和图像处理算法模块 43;所述光学成像系统2、仿生微光图像增强器3和平面CCD图像传感器4共轴,三者之间作用独立地设置,平面CCD图像传感器4位于光学成像系统1的焦平面处;仿生微光图像增强器3位于平面CCD图像传感器4的前端并紧贴平面CCD图像传感器4。A bionic vision system for improving imaging brightness of the present invention, the system includes sequentially connected light source 1, optical imaging system 2, bionic low-light image intensifier 3 and post-processing system 4, wherein: said post-processing system 4 Also comprise planar CCD image sensor 41, computer processing unit 42 and image processing algorithm module 43; Described optical imaging system 2, bionic low-light image intensifier 3 and planar CCD image sensor 4 are coaxial, and effect is set independently among the three , the planar CCD image sensor 4 is located at the focal plane of the optical imaging system 1;
所述光源1用于为系统提供照明光源;The light source 1 is used to provide an illumination source for the system;
所述光学成像系统2用于实现光学成像;The optical imaging system 2 is used to realize optical imaging;
所述仿生微光图像增强器3用于提高成像亮度,增强微光响应;The bionic low-light image intensifier 3 is used to improve imaging brightness and enhance low-light response;
所述平面CCD图像传感器41用于将光信号转换成模拟电流信号,电流信号经过放大和模数转换,实现图像的获取;The planar CCD image sensor 41 is used to convert the optical signal into an analog current signal, and the current signal is amplified and converted from analog to digital to realize image acquisition;
所述计算机处理单元42用于实现对图像的存储和传输;The computer processing unit 42 is used to realize storage and transmission of images;
所述图像处理模块43用于对图像进行最终处理。The image processing module 43 is used for final image processing.
所述仿生微光图像增强器3包括由多个子结构构成的复合抛物面聚光器阵列,每一个子结构均为一个复合抛物面聚光器;每个复合抛物面聚光器由微米量级的由抛物面构成的圆台型小杯子组成,光线从复合抛物面聚光器的入射口进入,经过复合抛物面聚光器的内表面反射,光线汇聚到抛物面的焦平面即出射口上,类似于抛物面反射镜一样,将光引向圆锥体感光区域,使该圆锥体感光区域成像亮度提高,增强微光响应。The bionic low-light image intensifier 3 includes a compound parabolic concentrator array composed of multiple substructures, each of which is a compound parabolic concentrator; each compound parabolic concentrator is composed of micron-scale parabolic The light enters from the entrance of the compound parabolic concentrator and is reflected by the inner surface of the compound parabolic concentrator. The light is guided to the photosensitive area of the cone, so that the imaging brightness of the photosensitive area of the cone is improved, and the low-light response is enhanced.
所述复合抛物面聚光器包括入射口直径、出射口直径和高度三个决定复合抛物面聚光器几何结构的参数。The compound parabolic concentrator includes three parameters which determine the geometric structure of the compound parabolic concentrator: the diameter of the entrance, the diameter and the height of the exit.
所述复合抛物面聚光器采用可见光透过率较高的材料经激光加工和镀反射膜完成制造。The compound parabolic concentrator is manufactured by using materials with high transmittance of visible light through laser processing and coating with reflective film.
所述复合抛物面聚光器的最优化参数为:入射口直径50μm、出射口直径10μm、高度90μm。The optimized parameters of the compound parabolic concentrator are: the diameter of the entrance is 50 μm, the diameter of the exit is 10 μm, and the height is 90 μm.
与现有技术相比,本发明的一种提高成像亮度的仿生视觉系统达到了成像亮度提高 5.61倍,成像亮度提高倍数的均匀性为95.30%的积极技术效果。Compared with the prior art, a bionic vision system for improving imaging brightness of the present invention has achieved the positive technical effect that the imaging brightness is increased by 5.61 times, and the uniformity of the imaging brightness improvement multiple is 95.30%.
附图说明Description of drawings
图1为本发明提出的一种提高成像亮度的仿生视觉系统的整体结构示意图;Fig. 1 is a kind of overall structure schematic diagram of the bionic vision system that improves imaging brightness that the present invention proposes;
图2为本发明提出的一种提高成像亮度的仿生视觉系统成像过程示意图;Fig. 2 is a schematic diagram of the imaging process of a bionic vision system that improves imaging brightness proposed by the present invention;
图3为复合抛物面聚光器光线追迹图;Figure 3 is a ray tracing diagram of a compound parabolic concentrator;
图4为复合抛物面聚光器平面阵列示意图;Fig. 4 is a schematic diagram of a plane array of a compound parabolic concentrator;
图5为成像仿真图;Figure 5 is an imaging simulation diagram;
图6为复合抛物面聚光器剖面图。Fig. 6 is a sectional view of a compound parabolic concentrator.
具体实施方式Detailed ways
下面将结合附图对本发明的具体实施方式作进一步的详细描述。The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.
如图1所示,为本发明的一种提高成像亮度的仿生视觉系统整体结构示意图。该系统包括光源1、光学成像系统2、仿生微光图像增强器3和后置处理系统4。后置处理系统4包括平面CCD图像传感器41、计算机42和图像处理算法43。光源1用于为系统提供照明光源;光学成像系统2用于实现光学成像;仿生微光图像增强器3用于提高成像亮度,增强微光响应;平面CCD图像传感器41用于将光信号转换成模拟电流信号,电流信号经过放大和模数转换,实现图像的获取;计算机42实现对图像的存储和传输;图像处理模块43对图像进行最终处理。光学成像系统2、仿生微光图像增强器3和后置处理系统4三者之间作用独立,互不影响。光学成像系统2、仿生微光图像增强器3 和平面CCD图像传感器4共轴,平面CCD图像传感器4位于光学成像系统2的焦平面处;仿生微光图像增强器3位于平面CCD图像传感器4的前端并紧贴平面CCD图像传感器4。As shown in FIG. 1 , it is a schematic diagram of the overall structure of a bionic vision system for improving imaging brightness according to the present invention. The system includes a light source 1 , an optical imaging system 2 , a bionic low-light image intensifier 3 and a post-processing system 4 . The post-processing system 4 includes a planar CCD image sensor 41 , a computer 42 and an image processing algorithm 43 . The light source 1 is used to provide the lighting source for the system; the optical imaging system 2 is used to realize optical imaging; the bionic low-light image intensifier 3 is used to improve the imaging brightness and enhance the low-light response; the planar CCD image sensor 41 is used to convert the light signal into The current signal is simulated, and the current signal is amplified and converted from analog to digital to realize the acquisition of the image; the computer 42 realizes the storage and transmission of the image; the image processing module 43 performs final processing on the image. The optical imaging system 2 , the bionic low-light image intensifier 3 and the post-processing system 4 function independently and do not affect each other. The optical imaging system 2, the bionic low-light image intensifier 3 and the planar CCD image sensor 4 are coaxial, and the planar CCD image sensor 4 is located at the focal plane of the optical imaging system 2; The front end is close to the plane CCD image sensor 4 .
如图2所示,为本发明提出的一种提高成像亮度的仿生视觉系统成像过程示意图。假设来自远处的入射光线为平行光,那么视场角范围内各个方向的入射光通过光学成像系统2所有的光学元件,然后再经过仿生微光图像增强器3中每个复合抛物面聚光器结构,而后,光线传输至平面CCD图像传感器4,最后在平面CCD图像传感器4上完成成像,整个成像过程实现了提高成像亮度,增强微光响应。成像后的图像像质上有一定的下降,经过计算机42完成图像存储以及传输,利用图像处理模块43完成对图像的最终处理。As shown in FIG. 2 , it is a schematic diagram of the imaging process of a bionic vision system for improving imaging brightness proposed by the present invention. Assuming that the incident light from a distance is parallel light, the incident light from all directions within the field of view range passes through all the optical elements of the optical imaging system 2, and then passes through each compound parabolic concentrator in the bionic low-light image intensifier 3 structure, and then the light is transmitted to the planar CCD image sensor 4, and finally the imaging is completed on the planar CCD image sensor 4. The whole imaging process realizes the improvement of imaging brightness and enhancement of low-light response. The image quality of the imaged image has a certain decline, and the computer 42 completes the image storage and transmission, and the image processing module 43 is used to complete the final processing of the image.
所述光学成像系统2,仅仅起成像作用,没有特殊的要求,可以采用简单的光学成像系统例如单薄凸透镜,也可以采用复杂的光学成像系统例如光学成像透镜组。The optical imaging system 2 only plays an imaging role and has no special requirements. A simple optical imaging system such as a thin convex lens may be used, or a complex optical imaging system such as an optical imaging lens group may be used.
所述仿生微光图像增强器3,选择模拟象鼻鱼视觉系统的视网膜结构。象鼻鱼视网膜在电子显微镜下真实的结构中,它们的视网膜结构不是光滑的,而是由微米量级的小杯子组成的,类似于抛物面反射镜一样,这种反射杯内侧由光反射蛋白质组成,将光引向圆锥体感光区域,使其成像亮度提高,增强微光响应。因此建立微米量级复合抛物面聚光器模型,如图3所示,为复合抛物面聚光器光线追迹图。光线从复合抛物面聚光器的入射口进入,经过复合抛物面聚光器的内表面反射,光线汇聚到抛物面的焦平面即出射口上,光线追迹图如图3所示。因此,仿生微光图像增强器3位于平面CCD图像传感器4前端并紧贴平面CCD图像传感器4。每一个复合抛物面聚光器用于提高成像亮度、增强微光响应,相互之间不影响,采用正方形平面阵列密接排布形式,形成一个复合抛物面聚光器平面阵列,如图4所示,为复合抛物面聚光器平面阵列示意图。(a) (b)分别为侧视图和正视图,最大程度利用光能,同时平面阵列结构减小了加工工艺上的难度。仿生微光图像增强器3可采用聚甲基丙烯酸甲酯、玻璃等可见光透过率较高的材料,通过激光加工和镀反射膜完成制造。The bionic low-light image intensifier 3 is selected to simulate the retinal structure of the elephant trunk fish visual system. In the real structure of the elephant trunk fish retina under the electron microscope, their retinal structure is not smooth, but is composed of small cups on the order of microns, similar to a parabolic reflector, and the inside of this reflective cup is composed of light-reflecting proteins , to guide the light to the photosensitive area of the cone to increase the imaging brightness and enhance the low-light response. Therefore, a micron-scale compound parabolic concentrator model is established, as shown in Figure 3, which is the ray tracing diagram of the compound parabolic concentrator. The light enters from the entrance of the compound parabolic concentrator, is reflected by the inner surface of the compound parabolic concentrator, and converges to the focal plane of the parabolic surface, which is the exit port. Therefore, the bionic low-light image intensifier 3 is located at the front end of the planar CCD image sensor 4 and is close to the planar CCD image sensor 4 . Each compound parabolic concentrator is used to improve imaging brightness and enhance low-light response without affecting each other. It adopts a square planar array closely arranged to form a compound parabolic concentrator planar array, as shown in Figure 4. Schematic diagram of a planar array of parabolic concentrators. (a) (b) are side view and front view respectively, which maximize the use of light energy, and the planar array structure reduces the difficulty of processing. The bionic low-light image intensifier 3 can be manufactured by using materials with high visible light transmittance such as polymethyl methacrylate and glass, through laser processing and coating with reflective film.
所述仿生微光图像增强器3中每一个子结构均为一个复合抛物面聚光器,复合抛物面聚光器包括入射口直径、出射口直径和高度三个参数,是复合抛物面聚光器实际设计中的关键参数,决定了复合抛物面聚光器的几何结构以及仿生微光图像增强器2的性能。综合图像连续性、成像亮度提高倍数和成像亮度提高倍数的分布三个评价标准优化复合抛物面聚光器的尺寸。图像连续性是由于复合抛物面聚光器入射口和出射口直径尺寸不一致引起的,使得图像变得离散,如图5所示。放大图5,光线不同入射角度下,复合抛物面聚光器提高亮度倍数不同。为量化成像亮度提高倍数和成像亮度提高倍数的均匀性两个评价标准,对不同入射角的复合抛物面聚光器提高亮度倍数做数据处理,公式如下:Each substructure in the bionic micro-light image intensifier 3 is a compound parabolic concentrator, which includes three parameters of entrance diameter, exit diameter and height, which is the actual design of the compound parabolic concentrator. The key parameters in , determine the geometry of the compound parabolic concentrator and the performance of the bionic low-light image intensifier 2. The size of the compound parabolic concentrator is optimized based on the three evaluation criteria of image continuity, imaging brightness enhancement factor and imaging brightness enhancement factor distribution. The continuity of the image is caused by the inconsistency of the diameters of the entrance and exit of the compound parabolic concentrator, which makes the image discrete, as shown in Figure 5. Enlarge Figure 5, under different incident angles of light, the compound parabolic concentrator increases brightness by different factors. In order to quantify the two evaluation criteria of imaging brightness enhancement multiple and imaging brightness enhancement multiple uniformity, data processing is performed on the brightness enhancement multiple of compound parabolic concentrators with different incident angles, the formula is as follows:
其中,C为不同入射角的复合抛物面聚光器提高亮度倍数;Ci为C中的第i个数据;n为C中的数据个数;E(C)为C的期望值,表示仿生图像增强器2的成像亮度提高倍数。Cmin为C中的最小值;Cmax为C中的最大值;为对C做归一化处理之后的第i个数据;E(C*)为归一化数据C*的期望值;D(C)为成像亮度提高倍数的均匀性。Among them, C is the compound parabolic concentrator with different incident angles to increase the brightness multiple; C i is the i-th data in C; n is the number of data in C; E(C) is the expected value of C, which means bionic image enhancement The imaging brightness of device 2 is increased by multiples. C min is the minimum value in C; C max is the maximum value in C; It is the i-th data after C is normalized; E(C * ) is the expected value of the normalized data C * ; D(C) is the uniformity of the imaging brightness improvement factor.
入射口直径取值范围50μm-150μm、出射口直径取值范围在5μm-30μm、高度取值范围在30μm-130μm,得到最优数值解为:入射口直径50μm;出射口直径10μm;高度90μm,剖面图如图6所示,成像亮度提高5.61倍,成像亮度提高倍数的均匀性为95.30%。The value range of the entrance diameter is 50μm-150μm, the value range of the exit hole diameter is 5μm-30μm, and the height value range is 30μm-130μm. The optimal numerical solution is: the entrance diameter is 50μm; the exit diameter is 10μm; the height is 90μm The profile is shown in Figure 6, the imaging brightness is increased by 5.61 times, and the uniformity of the imaging brightness improvement factor is 95.30%.
本发明采用图像处理模块6可以对类似于图5的实验图进行对比度拉伸、像素填充和图像修复等图像处理算法以提高图像质量。The present invention uses the image processing module 6 to perform image processing algorithms such as contrast stretching, pixel filling, and image restoration on the experimental image similar to FIG. 5 to improve image quality.
本发明并不限于上文描述的实施方式。以上对具体实施方式的描述旨在描述和说明本发明的技术方案,上述的具体实施方式仅仅是示意性的,并不是限制性的。在不脱离本发明宗旨和权利要求所保护的范围情况下,本领域的普通技术人员在本发明的启示下还可做出很多形式的具体变换,这些均属于本发明的保护范围之内。The present invention is not limited to the embodiments described above. The above description of the specific embodiments is intended to describe and illustrate the technical solution of the present invention, and the above specific embodiments are only illustrative and not restrictive. Without departing from the gist of the present invention and the scope of protection of the claims, those skilled in the art can also make many specific changes under the inspiration of the present invention, and these all belong to the protection scope of the present invention.
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