回答編集履歴
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せっかくなので…
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@@ -9,4 +9,61 @@
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既に二値化できるところまで来ているようですので、矩形の検出は既定の関数ですぐにできます。四角の描画も線を一本一本引かなくてもまとめて引けます。だいぶ楽になるのではないでしょうか？こちらも[別のOpenCVのチュートリアル](http://labs.eecs.tottori-u.ac.jp/sd/Member/oyamada/OpenCV/html/py_tutorials/py_imgproc/py_contours/py_contour_features/py_contour_features.html)が参考になります。
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漂う力技感。
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```Python3
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import cv2
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def detect_contour(img):
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int_ocv = int(cv2.__version__[0])
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if int_ocv == 4:
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contours, hierachy = cv2.findContours(img, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
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else:
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_, contours, hierachy = cv2.findContours(img, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE )
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return contours
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img_raw = cv2.imread("test.png")
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img_drawn = img_raw.copy()
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img_hsv = cv2.cvtColor(img_raw,cv2.COLOR_BGR2HSV)
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img_bin = cv2.inRange(img_hsv, (0,20,0), (10,255,255))
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# cv2.imshow("img_bin",img_bin)
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###
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contours = detect_contour(img_bin)
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for cnt in contours:
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area = cv2.contourArea(cnt)
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if area > 2000:
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img_bin = cv2.drawContours(img_bin,[cnt],-1,(128), -1)
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img_bin[img_bin==255] = 0
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img_drawn[img_bin==128] = (0,0,255)
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###
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contours = detect_contour(img_bin)
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for cnt in contours:
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# area = cv2.contourArea(cnt)
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x, y, w, h = cv2.boundingRect(cnt)
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img_drawn = cv2.rectangle(img_drawn,(x,y),(x+w,y+h),(0,255,0),2)
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# cv2.imshow("img_raw",img_raw)
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# cv2.imshow("img_bin[fixed]",img_bin)
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cv2.imshow("img_drawn",img_drawn)
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cv2.waitKey(0)
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cv2.imwrite("img_drawn.png",img_drawn)
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cv2.waitKey(0)
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```
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---
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さらに精度が必要であれば[機械学習](https://www.pro-s.co.jp/blog/system/opencv/6231)や[深層学習](https://qiita.com/harmegiddo/items/c3db5fd567fa4c6cc9fb)を検討ください。
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