64 lines
		
	
	
		
			2.4 KiB
		
	
	
	
		
			Python
		
	
	
		
			Executable File
		
	
			
		
		
	
	
			64 lines
		
	
	
		
			2.4 KiB
		
	
	
	
		
			Python
		
	
	
		
			Executable File
		
	
import math
 | 
						|
import random
 | 
						|
import cv2
 | 
						|
import numpy as np
 | 
						|
 | 
						|
TOTAL_OFFSET = 8
 | 
						|
 | 
						|
def gen_outline(path, dest):
 | 
						|
    img = cv2.imread(path, cv2.IMREAD_GRAYSCALE)
 | 
						|
    img_contour = cv2.imread(dest, cv2.IMREAD_UNCHANGED)
 | 
						|
 | 
						|
    kernel_size = 1
 | 
						|
    sigma = 0.5
 | 
						|
    kernel = cv2.getGaussianKernel(kernel_size, sigma)
 | 
						|
    kernel = np.dot(kernel, kernel.T)
 | 
						|
    smoothed = cv2.filter2D(img, -1, kernel)
 | 
						|
 | 
						|
    _, thresh = cv2.threshold(smoothed, 1, 255, cv2.THRESH_BINARY)
 | 
						|
    contours, _ = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
 | 
						|
 | 
						|
    # 计算轮廓的总面积
 | 
						|
    total_area = 0
 | 
						|
    for contour in contours:
 | 
						|
        area = cv2.contourArea(contour)
 | 
						|
        total_area = total_area + area
 | 
						|
 | 
						|
    # 选择周长和面积满足条件的轮廓,过滤太小的轮廓
 | 
						|
    valid_contours = []
 | 
						|
    threshold = 0.5
 | 
						|
    idx = 0
 | 
						|
    while not (len(valid_contours) > 0 and idx == 0):
 | 
						|
        contour = contours[idx]
 | 
						|
        perimeter = cv2.arcLength(contour, True)
 | 
						|
        area = cv2.contourArea(contour)
 | 
						|
        # print(path, "周长 =", perimeter, "面积占比 =", area/total_area, threshold)
 | 
						|
        if perimeter > 0 and area/total_area > threshold:
 | 
						|
            # print("add =====> ")
 | 
						|
            valid_contours.append(contour)
 | 
						|
        idx = idx + 1
 | 
						|
        if idx >= len(contours):
 | 
						|
            threshold = threshold - 0.1
 | 
						|
            idx = 0
 | 
						|
 | 
						|
    start = random.randint(0, int(len(valid_contours[0])/3*2)-1)
 | 
						|
    start = 0
 | 
						|
    contour_points = valid_contours[0][start:(start + int(len(valid_contours[0])/3))]
 | 
						|
    contour_points = valid_contours[0][start:(start + len(valid_contours[0]))]
 | 
						|
    offset = (4, 4)
 | 
						|
    offset_contour_points = contour_points + offset
 | 
						|
    print("contour_points start = ", start, len(valid_contours[0]))
 | 
						|
    cv2.polylines(img_contour, [offset_contour_points], False, (255, 255, 255, 255), int(TOTAL_OFFSET - 1), lineType=cv2.LINE_AA)
 | 
						|
    cv2.polylines(img_contour, [offset_contour_points], False, (0, 0, 0, 255), int(TOTAL_OFFSET / 2 - 1), lineType=cv2.LINE_AA)
 | 
						|
    
 | 
						|
    # cv2.drawContours(img_contour, valid_contours, -1, (255, 255, 255, 255), 9, None, None, None, (5, 5))
 | 
						|
    # cv2.drawContours(img_contour, valid_contours, -1, (0, 0, 0, 255), 5, None, None, None, (5, 5))
 | 
						|
    # cv2.imwrite(dest, img_contour)
 | 
						|
 | 
						|
    cv2.imshow('Original Image', img)
 | 
						|
    cv2.imshow('Contour Image', img_contour)
 | 
						|
    cv2.waitKey(0)
 | 
						|
    cv2.destroyAllWindows()
 | 
						|
 | 
						|
if __name__ == "__main__":
 | 
						|
    gen_outline("./image.png", "./image-emt.png") |