擅长:python、mysql、java
<p>我能够检测到彩色背景的轮廓(见下面的代码)-什么是确保这些块中的文本为黑色并将背景变为白色的最佳转换</p>
<p>谢谢大家!</p>
<p>`</p>
<pre><code> # Make greyscale version and inverted, thresholded greyscale version
gr = cv2.cvtColor(page_image,cv2.COLOR_BGR2GRAY)
plt.figure(figsize = (30,30))
plt.imshow(gr)
plt.show()
blur = cv2.GaussianBlur(gr, (7,7), 0)
thresh = cv2.threshold(blur, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)[1]
# Create rectangular structuring element and dilate
kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (2,2)) #5,5
dilate = cv2.dilate(thresh, kernel, iterations=4)
# Find contours and draw rectangle
cnts = cv2.findContours(dilate, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
cnts = cnts[0] if len(cnts) == 2 else cnts[1]
thr=(gr.shape[1]/2)
print(thr)
for c in cnts:
x,y,w,h = cv2.boundingRect(c)
if w>thr and h>20 :
cv2.rectangle(gr, (x,y ), (x+w,y+h ), (36,255,12), 2)
</code></pre>
<p>`</p>