質問編集履歴
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opencvを用いて白線を検出しようと考えています。
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`![イメージ説明](aec91c94103dd96367ca2e21f8d357d7.jpeg)説明](de0d9317b0c0fe2607db0ac7a0df9b87.jpeg)on
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```python
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#coding: Shift_Jis
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import cv2
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import math
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import numpy as np
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img_src = cv2.imread("./〇〇/image_name")
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# 入力画像をグレースケール変換
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gray = cv2.cvtColor(img_src,cv2.COLOR_BGR2GRAY)
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#適応的しきい値処理
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th1 = cv2.adaptiveThreshold(gray,255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C,\
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cv2.THRESH_BINARY,11,2)
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#ガウシアンフィルタ処理
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gauss = cv2.GaussianBlur(th1,(9,9),0)
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#キャニーエッジ検出
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edges = cv2.Canny(gauss,100,150)
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#LSD生成
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LSD = cv2.createLineSegmentDetector()
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#線分検出
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lines, width, prec, nfa = LSD.detect(edges)
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# グレースケール変換をBGR変換
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color = cv2.cvtColor(gray,cv2.COLOR_GRAY2BGR)
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# 直線の描画
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for i in range(len(lines)):
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for x1,y1,x2,y2 in lines[i] :
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cv2.line(color,(x1,y1),(x2,y2),(0,0,255),2)
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#OpenCVがBGRなのでRGBに変換
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disp_in_img = cv2.cvtColor(color, cv2.COLOR_BGR2RGB)
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cv2.imshow('src', img_src)
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cv2.imshow("nitika", th1)
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cv2.imshow('dst', disp_in_img)
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cv2.waitKey()
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cv2.destroyAllWindows()
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```
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