[英]How to remove all the detected lines from the original image using Python?
我正在嘗試刪除圖像中存在的所有行。 我能夠檢測到線條,但是當我嘗試刪除線條時,最終圖像中仍然很少出現細線。 我已經使用cv2.getStructuringElement
來獲取水平和垂直線。 在某些情況下,最終圖像會完全失真,我無法前進
圖片取自Google
res = verticle_lines_img + horizontal_lines_img
res = cv2.bitwise_not(res)
fin=cv2.bitwise_or(img_bin, res,mask =cv2.bitwise_not(res))
fin= cv2.bitwise_not(fin)
exp =255-res
final = cv2.bitwise_and(exp,img_bin)
final = cv2.bitwise_not(final)
exp = ~exp
finalised = cv2.bitwise_and(img_bin,final)
finalised = cv2.bitwise_not(finalised)
請幫忙! 謝謝
這是一種方法
轉換為灰度后,我們以Otsu的閾值獲取二進制圖像
image = cv2.imread('1.jpg')
gray = cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)
thresh = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)[1]
從這里我們構造一個特殊的水平內核來檢測水平線。 一旦檢測到線條,我們將填充線條以有效刪除線條
# Remove horizontal
horizontal_kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (10,1))
detected_lines = cv2.morphologyEx(thresh, cv2.MORPH_OPEN, horizontal_kernel, iterations=2)
cnts = cv2.findContours(detected_lines, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
cnts = cnts[0] if len(cnts) == 2 else cnts[1]
for c in cnts:
cv2.drawContours(image, [c], -1, (255,255,255), 2)
同樣,為了刪除垂直線,我們構造了一個特殊的垂直內核
# Remove vertical
vertical_kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (1,10))
detected_lines = cv2.morphologyEx(thresh, cv2.MORPH_OPEN, vertical_kernel, iterations=2)
cnts = cv2.findContours(detected_lines, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
cnts = cnts[0] if len(cnts) == 2 else cnts[1]
for c in cnts:
cv2.drawContours(image, [c], -1, (255,255,255), 2)
這是檢測到的綠色線條
結果
您可以通過調整內核大小來微調結果。 例如,將(10,1)
更改為(15,1)
將使線檢測變緊,而將其降低至(5,1)
則會使檢測變松
完整代碼
import cv2
image = cv2.imread('1.jpg')
gray = cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)
thresh = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)[1]
# Remove horizontal
horizontal_kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (10,1))
detected_lines = cv2.morphologyEx(thresh, cv2.MORPH_OPEN, horizontal_kernel, iterations=2)
cnts = cv2.findContours(detected_lines, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
cnts = cnts[0] if len(cnts) == 2 else cnts[1]
for c in cnts:
cv2.drawContours(image, [c], -1, (255,255,255), 2)
# Remove vertical
vertical_kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (1,10))
detected_lines = cv2.morphologyEx(thresh, cv2.MORPH_OPEN, vertical_kernel, iterations=2)
cnts = cv2.findContours(detected_lines, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
cnts = cnts[0] if len(cnts) == 2 else cnts[1]
for c in cnts:
cv2.drawContours(image, [c], -1, (255,255,255), 2)
cv2.imshow('thresh', thresh)
cv2.imshow('image', image)
cv2.waitKey()
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