質問編集履歴
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本文の内容
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import numpy as np
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import random
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import sys
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if __name__ == '__main__':
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input_image_path = '
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input_image_path = '×××××.jpg'
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gray_src = cv2.imread(input_image_path, 0)
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gray_src = cv2.imread(input_image_path, 0)
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blur_src = cv2.GaussianBlur(gray_src, (5, 5), 2)
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mono_src = cv2.adaptiveThreshold(gray_src, 0, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 5, 3)
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cv2.imshow("mono_src", mono_src)
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cv2.waitKey(0)
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cv2.destroyAllWindows()
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構成
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gray_src = cv2.imread(input_image_path, 0)
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blur_src = cv2.GaussianBlur(gray_src, (5, 5), 2)
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mono_src = cv2.
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mono_src = cv2.adaptiveThreshold(gray_src, 0, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 5, 3)
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cv2.imshow("mono_src", mono_src)
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cv2.waitKey(0)
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cv2.destroyAllWindows()
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#
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#問題点
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画像は表示されるのですが、真っ黒の画像が表示されてしまいます。
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File "threshhold.py", line 23, in <module>
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mono_src = cv2.threshold(gray_src, 0, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 5, 3)
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TypeError: threshold() takes at most 5 arguments (6 given)
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どこがおかしいかわかりません。どなたかご教示お願い致します。
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文章の構成
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#実現したいこと
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pythonによって画像を動的二値化処理()をしたい
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#ソースコード
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import cv2
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import numpy as np
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import random
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if __name__ == '__main__':
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input_image_path = '
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input_image_path = 'pic.path'
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gray_src = cv2.imread(input_image_path, 0)
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gray_src = cv2.imread(input_image_path, 0)
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# 前処理（平準化フィルターを適用した場合）
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# 前処理が不要な場合は下記行をコメントアウト
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blur_src = cv2.GaussianBlur(gray_src, (5, 5), 2)
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# 二値変換
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# 前処理を使用しなかった場合は、blur_srcではなくgray_srcに書き換えるする
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mono_src = cv2.threshold(gray_src, 0, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 5, 3)
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# 結果の表示
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cv2.imshow("mono_src", mono_src)
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cv2.waitKey(0)
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