JP3735621B2 - All-sky light environment evaluation method - Google Patents
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Description
この発明は、デジタルカメラで撮影した全天写真画像を基に、林内光環境等を解析する全天下光環境評価方法に関する。 The present invention relates to an all-sky light environment evaluation method for analyzing a light environment in a forest based on an all-sky photo image taken with a digital camera.
従来、樹木の成長や育成、生存率に関する指標として、林内光環境を評価することが行われている。この評価には、フィルムカメラで撮影された全天写真を基に、林内光環境の解析を行っていた。しかし、フィルムカメラで撮影された画像は、解析に至るまでにフィルムの現像、画像のスキャニング、トリミングおよび全天写真の範囲の決定などに多くの時間と労力が必要であった。 Conventionally, the light environment in a forest has been evaluated as an index related to the growth and rearing of trees and the survival rate. For this evaluation, the light environment in the forest was analyzed based on a whole sky photograph taken with a film camera. However, an image taken with a film camera requires a lot of time and effort to analyze the film, scan the image, trim the image, and determine the range of the panoramic image before analysis.
一方、近年デジタルカメラを用いて、全天写真を撮りその画像を評価する研究が行われてきている。 On the other hand, in recent years, research has been conducted on taking a whole sky photograph and evaluating the image using a digital camera.
デジタルカメラにより撮影された全天写真の画像は、いずれも閉鎖林冠下での光環境が過大に推定され、実際の光環境を正確に表した評価ができないものであった。また、デジタル画像の二階調化処理は、最新の研究でも「人の目」による主観的判断に基づく方法が主流となっており、正確な評価解析に用いることができる二階調化処理を自動的に行う処理方法は確立されていない。全天写真の二階調化処理の自動化に関しては、閾値を固定値とする方法、級間分散を最大化し閾値を検出する方法が提案されているが、撮影条件が厳しく制限される、推定精度が不十分である等の欠点があった。 All of the images of the whole sky photographed by the digital camera were too presumed to have the light environment under the canopy of the closed forest, and the evaluation could not accurately represent the actual light environment. Also, in the latest research, the two-tone processing of digital images is mainly based on subjective judgment based on the “human eye”, and the two-tone processing that can be used for accurate evaluation analysis is automatically performed. No processing method has been established. For automating the two-tone processing of all-sky photos, methods that use a fixed threshold value and methods that maximize the interclass variance and detect the threshold value have been proposed, but the estimation accuracy is severely limited. There were drawbacks such as inadequate.
この発明は、上記従来の技術の問題点に鑑みて成されたもので、小型で簡単な装置を用いて、正確な解析・評価が可能な全天下光環境評価方法を提供することを目的とする。 The present invention has been made in view of the above-mentioned problems of the prior art, and an object thereof is to provide an all-sky light environment evaluation method capable of accurate analysis and evaluation using a small and simple device. To do.
この発明は、デジタルカメラを用いて全天写真を撮影し、その画像の各ピクセル毎の光量であるピクセル値をサンプリングし、各ピクセル値を横軸に取り、縦軸に上記撮影画像のピクセル値毎の出現頻度を表したピクセル値の頻度分布曲線を基にして回帰曲線を求め、この曲線の曲率が最大となるときのピクセル値を光遮蔽物と光源となる空を分離する閾値とし、この閾値よりも値の大きいピクセル値を有するピクセルの数を求め、上記閾値以上のそのサンプルの天頂に向かう軸に対する角度の余弦値を掛けた値を積算して全天の光環境値とし、各光環境下の上記光環境値を全天に遮蔽物のない状態の上記光環境値で割った値を、その場所における相対光量として評価する全天下光環境評価方法である。 The present invention takes a panoramic picture using a digital camera, samples a pixel value that is the amount of light for each pixel of the image, takes each pixel value on the horizontal axis, and represents the pixel value of the captured image on the vertical axis. A regression curve is obtained based on the frequency distribution curve of the pixel value representing the appearance frequency of each, and the pixel value when the curvature of the curve is maximum is set as a threshold value for separating the light shielding object and the light source sky. The number of pixels having a pixel value greater than the threshold value is obtained, and a value obtained by multiplying the cosine value of the angle with respect to the axis toward the zenith of the sample that is equal to or greater than the threshold value is integrated to obtain a total light environment value. This is an all-sky light environment evaluation method in which a value obtained by dividing the light environment value in the environment by the light environment value in a state where there is no shield in the whole sky is evaluated as a relative light quantity at the place.
特に、上記頻度分布曲線を基にした回帰曲線の曲率が最大となるときのピクセル値を閾値とした後、上記閾値以上のピクセル値を持つ上記画像データの各ピクセルを、所定の天頂角度帯別にカウントし、そのピクセル値に対して天空輝度分布により光源としての所定のウェイトをかけ、上記ウェイト付けした各ピクセル値により上記天頂角度帯別の光量を求め、上記天頂角度帯別の光量を全天分積算して全天光環境値を推定する処理を行うものである。 In particular, after setting the pixel value when the curvature of the regression curve based on the frequency distribution curve is maximum as a threshold value, each pixel of the image data having a pixel value equal to or higher than the threshold value is classified by a predetermined zenith angle band. The pixel value is multiplied by a predetermined weight as a light source based on the sky luminance distribution, the light amount for each zenith angle band is obtained from each weighted pixel value, and the light amount for each zenith angle band is A process of estimating the total skylight environment value by integrating the minutes is performed.
この発明の全天下光環境方法は、デジタルカメラで撮影された全天写真から、自動的かつ高精度で林内等の全天下相対散乱光量を推定することができる。また、装置も画像解析ソフトの他には、魚眼レンズを装着できるデジタルカメラと全天写真の撮影に必要な一脚や水準器等わずかな構成および費用で実施可能であり、安価で簡単な装置により測定が可能なものである。 The all-sky light environment method of the present invention can automatically and highly accurately estimate the amount of all-sky relative scattered light in a forest or the like from a whole-sky photograph taken with a digital camera. In addition to image analysis software, the device can be implemented with a small configuration and cost, such as a digital camera that can be equipped with a fisheye lens and a monopod and level required for taking all-sky photographs. It can be measured.
以下、この発明の実施形態について図面に基づいて説明する。この実施形態では、図1に示すように、魚眼レンズ10を装着したデジタルカメラ12を用いる。デジタルカメラ12は、所定の被測定環境下に設置し、魚眼レンズ10の光軸が垂直になるように天頂に向けて固定する。デジタルカメラ12により撮影したデータは、後にパソコン14の記憶装置に入力し、後述する処理方法により画像処理し、全天下の光環境を評価する。
Hereinafter, embodiments of the present invention will be described with reference to the drawings. In this embodiment, as shown in FIG. 1, a
全天下の光環境を評価するに際して、先ず多様な光環境下で撮影されたデジタル全天写真を用い、その撮影データのピクセル値の頻度分布パターンを求め、ピクセル値の頻度分布図上で、二階調化のための閾値を定める。 When evaluating the light environment under the whole sky, first, using digital whole sky photographs taken in various light environments, the frequency distribution pattern of pixel values of the photographed data is obtained, and on the frequency distribution diagram of pixel values, the second floor Define threshold for tuning.
閾値を定めるために、開放地から閉鎖林冠下に至る21地点の全天写真を用い、各ピクセル値の頻度分布をもとにクラスター分析を行った。全天写真のピクセル頻度および閾値の出現位置に関し、図2に示すような結果が認められた。 In order to determine the threshold value, a cluster analysis was performed based on the frequency distribution of each pixel value using 21-point panoramic photographs from the open land to the closed forest canopy. The results shown in FIG. 2 were observed with respect to the pixel frequency of the all-sky photograph and the appearance position of the threshold.
即ち、1.明るさごとに分類され、明るくなるに従い頻度分布曲線が、L字型 → 二峰分布 → ベル型分布へと変化する。2.図2の各色の頻度分布曲線のグラフにおいて、左端にL字型の減少曲線が現れる。3.閾値はL字型減少曲線の曲率が大きくなったところに出現する。従って、閾値を検出するための計算は、以下のように行うこととした。 That is: Classified by brightness, the frequency distribution curve changes from L-shaped to bimodal to bell-shaped as it gets brighter. 2. In the graph of the frequency distribution curve of each color in FIG. 2, an L-shaped decrease curve appears at the left end. 3. The threshold appears when the curvature of the L-shaped decrease curve increases. Therefore, the calculation for detecting the threshold is performed as follows.
1.頻度分布曲線は以下の数式(1)で表される曲線とした。(L-字型分布に対する曲線の回帰) 1. The frequency distribution curve was a curve represented by the following formula (1). (Regression of curve for L-shaped distribution)
2.回帰曲線上での曲率の計算と最大曲率点(閾値)の検出
図3に示すように、回帰曲線f上の任意点における曲率θを以下の数式2のように定義する。
そして、図3に示すように、所定区間の中での最大曲率θmaxをとる点の輝度Pθmaxを、下記の数式(3)閾値Tとした。即ち、閾値Tは、頻度分布曲線fの曲率が最大値となるピクセル値である。 Then, as shown in FIG. 3, the brightness Pθmax at the point where the maximum curvature θmax in the predetermined section is obtained is defined as the following equation (3) threshold T. That is, the threshold T is a pixel value at which the curvature of the frequency distribution curve f becomes the maximum value.
全天写真上の写真座標(x,y)で、天頂角z、方位角(azimuth)aの点は、以下の数式(5)のように表される。
The point of the zenith angle z and the azimuth angle (azimuth) a in the photographic coordinates (x, y) on the all-sky photograph is expressed as the following formula (5).
サンプルされたピクセルは、撮影画像の256階調のRGB(red、green、blue)のピクセル値PR、PG、PBを持つ。全天写真内の空と光遮蔽物の閾値がRGBごとに(TR、TG、TB)であるとき、全天写真撮影地点の光量SOCを次の数式(8)によって計算した。 The sampled pixels have 256 gradation RGB (red, green, blue) pixel values P R , P G , P B of the captured image. When the threshold of the sky and the light shield in the whole sky photograph is per RGB (T R, T G, T B), it was calculated by the following equation the quantity SOC of the entire sky photography point (8).
この実施形態の全天下光環境評価方法によれば、基本的に魚眼レンズを装着できるデジタルカメラ等わずかな構成および費用で実施可能で、林業関係の研究者のみならず、環境アセスメント、立地評価、その他中学・高校等の教材等で活用され得る。 According to the all-sky light environment evaluation method of this embodiment, it can be basically implemented with a slight configuration and cost such as a digital camera that can be attached to a fisheye lens, and not only forestry researchers but also environmental assessment, location evaluation, etc. Can be used in teaching materials for junior and senior high schools.
この解析・評価方法で推定した相対光量(DIFphoto)と、光センサーによる実測値光量を基にした相対光量(DIFsensor)の相関調査を行った。 A correlation between the relative light amount (DIFphoto) estimated by this analysis / evaluation method and the relative light amount (DIFsensor) based on the light amount actually measured by the optical sensor was investigated.
調査は富山林業試験場の試験林で実施した。図4のa〜hの各グラフは、開放地からスギ人工林にかけての101個所の定点における上記相関調査結果である。iは、スギ人工林、コナラ−アカマツ二次林、林道、ギャップ等多様な環境下での調査結果。AE-Lockの露出は、調査開始時に固定。
The survey was conducted in a test forest at the Toyama Forestry Experiment Station. Each graph of ah of
AE-Lockによる撮影では、露出が-2〜2eVの範囲でDIFphotoとDIFsensorの間に高い相関が得られた(決定係数 0.99以上)。DIFphotoの平均誤差は、-1〜1eVの範囲で-2.4〜1.0%で、-1〜1eVの範囲で-3.9〜2.1%であった。グラフのa,bに示すように露出アンダーの時に過小、グラフのd,eに示すようにオーバーの時には過大となる傾向が認められたが、AE-Lockによる露出設定後、天空の明るさが25〜400%変動してもおおむね実用的な精度が得られることを示すものと言えた。 In AE-Lock photography, a high correlation was obtained between DIFphoto and DIFsensor in the exposure range of -2 to 2 eV (decision coefficient 0.99 or more). The average error of DIFphoto was -2.4 to 1.0% in the range of -1 to 1 eV and -3.9 to 2.1% in the range of -1 to 1 eV. As shown in graphs a and b, there was a tendency to become underexposure when underexposure and overexposure when overexposed as shown in graphs d and e. It can be said that even if it fluctuates by 25 to 400%, practical accuracy can be obtained.
実際に、日没時の調査(グラフg)では、開放環境下の明るさが調査期間中120lxから10lxへと減少したが、十分に高い精度が得られた。グラフiのデータは、色々な林の中をさまよい歩いて得た調査結果であるが、回帰式の決定係数は0.988、平均誤差は-1.2%であった。 Actually, in the survey at the time of sunset (graph g), the brightness under the open environment decreased from 120 lx to 10 lx during the survey period, but sufficiently high accuracy was obtained. The data in graph i is the result of a survey of walking in various forests. The coefficient of determination of the regression equation was 0.988 and the average error was -1.2%.
以上の結果から、開放地から閉鎖林冠下に至る環境下で、高い精度で相対散乱光が推定された。AE-Lock法による露出設定後、天空の明るさが露出設定時の25〜400%に変化した場合も、実用的な精度(決定係数0.99以上)が得られることが分かった。 From the above results, the relative scattered light was estimated with high accuracy in the environment from the open land to the closed forest canopy. After the exposure setting by the AE-Lock method, it was found that practical accuracy (decision coefficient 0.99 or more) was obtained even when the sky brightness changed from 25 to 400% of the exposure setting.
この発明の全天下光環境評価方法は、環境アセスメント、林業の立地評価等で活用されると考えられる。簡便で迅速かつ正確な林内光環境の推定を可能にし、森林育成にかかわる事業および調査、研究等の促進に寄与する。植物園や屋内植物栽培場、植物生産工場等の光環境の制御にも利用可能である。 The whole sky environment evaluation method of the present invention is considered to be used for environmental assessment, forestry location evaluation, and the like. Enables simple, quick and accurate estimation of the light environment in the forest, and contributes to the promotion of projects, surveys, and research related to forest cultivation. It can also be used to control the light environment in a botanical garden, indoor plant cultivation ground, plant production factory, and the like.
10 魚眼レンズ
12 デジタルカメラ
14 パソコン
10
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| LAPS | Cancellation because of no payment of annual fees |