import cv2 import matplotlib.pyplot as plt import numpy as np path = "./temp(1)/temp/src.jpg" threshold = 80

讀取圖像

img = cv2.imread(path) img = img[:,:,::-1] img.shape plt.imshow(img) plt.axis('off') plt.show()

# 轉化灰度 img_gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) img_gray.shape plt.imshow(img_gray, cmap='gray') plt.axis('off') plt.show()

# 高斯模糊 img_gray = cv2.GaussianBlur(img_gray, (3, 3), 1) plt.imshow(img_gray, cmap='gray') plt.axis('off') plt.show()

二值轉化

_, img_br = cv2.threshold(img_gray, threshold, 255, cv2.THRESH_BINARY) plt.imshow(img_br, cmap='gray') plt.axis('off') plt.show()

# 尋找外層輪廓 contours, hierarchy = cv2.findContours(img_br, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) # 確保至少找到一個輪廓 contour = np.zeros((4, 2)) if len(contours) > 0:# 按輪廓大小降序排列cnts = sorted(contours, key=cv2.contourArea, reverse=True)for c in cnts:# 近似輪廓peri = cv2.arcLength(c, True)approx = cv2.approxPolyDP(c, 0.02 * peri, True)# 近似輪廓有四個點，則確定if len(approx) == 4:contour = approxbreak# 保留輪廓圖片 img_contour = img.copy() cv2.drawContours(img_contour, [contour], 0, (0, 0, 255), 1) cv2.imwrite("./contour.png",img_contour) cour = cv2.imread('./contour.png') plt.imshow(cour) plt.axis('off') plt.show()

# 讀取目標圖片 dst = cv2.imread("./temp(1)/temp/dst.jpg") # dst = cv2.imread("./temp(1)/temp/7.jpg") # dst = cv2.imread('fish.jpg') plt.imshow(dst[:,:,::-1]) plt.axis('off') plt.show()

# 初始化原圖Mask mask = np.zeros_like(img) # 獲取子圖長寬，賦給mask h, w, c = dst.shape mask[:h, :w, :] = 255 # mask 透射變換 # 得到變換矩陣 # 初始mask點 point1 = np.float32([[0, 0], [0, h - 1], [w - 1, h - 1], [w - 1, 0]]) # 目標mask點 point2 = np.float32(contour.reshape(4, 2)) # 得到變換矩陣 perspective_matrix = cv2.getPerspectiveTransform(point1, point2) # 得到里白外黑mask mask_center_true = cv2.warpPerspective(mask, perspective_matrix, (img.shape[1], img.shape[0])) plt.imshow(mask_center_true) plt.axis('off') plt.show()

# 取圖 mask_center_roi = cv2.bitwise_and(img,mask_center_true) plt.imshow(mask_center_roi) plt.axis('off') plt.show() # 反取mask temp = np.ones_like(img) * 255 mask_center_false = cv2.bitwise_xor(mask_center_true,temp) plt.imshow(mask_center_false) plt.axis('off') plt.show() # and src_center_false = cv2.bitwise_and(img,mask_center_false) plt.imshow(src_center_false) plt.axis('off') plt.show() # 得到dst透射變換 temp = np.zeros_like(img) temp[:h,:w,:] = dst dst_center_true = cv2.warpPerspective(temp, perspective_matrix, (img.shape[1], img.shape[0])) plt.imshow(dst_center_true[:,:,::-1]) plt.axis('off') plt.show()

# 融合 result = cv2.bitwise_or(src_center_false[:,:,::-1],dst_center_true) plt.imshow(result[:,:,::-1]) plt.axis('off') plt.show()

總結

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