1、查找轮廓随机用不同的颜色画出

import cv2
import numpy as npdef get_contour_colors(num_contours):# 定义颜色表 (BGR 格式)colors = [(255, 0, 0),(255, 50, 0),(255, 100, 0),(255, 150, 0),(255, 200, 0),(255, 255, 0),(200, 255, 0),(150, 255, 0),(100, 255, 0),(50, 255, 0),(0, 255, 0),(0, 255, 50),(0, 255, 100),(0, 255, 150),(0, 255, 200),(0, 255, 255),(0, 200, 255),(0, 150, 255),(0, 100, 255),(0, 50, 255),(0, 0, 255),]# 返回一个颜色表return [colors[i % len(colors)] for i in range(num_contours)]def fill_contours(img, contours):# 创建空白的图像，用来画轮廓表filled_img = np.zeros_like(img)num_contours = len(contours)# 颜色表colors = get_contour_colors(num_contours)for i, contour in enumerate(contours):cv2.drawContours(filled_img, [contour], -1, colors[i], -1)return filled_img# 读取原图，原图是RGB图
img = cv2.imread('1.png')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)# 查找轮廓
contours, _ = cv2.findContours(gray, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)# 填充轮廓
filled_img = fill_contours(img, contours)cv2.imshow('Filled Contours', filled_img)
cv2.waitKey(0)
cv2.destroyAllWindows()

原图：

输出：

2、查找轮廓按大小用不同的颜色画出 

import cv2
import numpy as npdef get_color(k, start_color=(255, 0, 0), end_color=(0, 0, 255)):out_color = []   # 输出的颜色for i in range(3):single_color = int((end_color[i] - start_color[i]) * k + start_color[i])out_color.append(single_color)for j in range(3):if out_color[j] > 255:out_color[j] = 255elif out_color[j] < 0:out_color[j] = 0return out_colordef fill_contours(img, contours):# 创建空白的图像，用来画轮廓表filled_img = np.zeros_like(img)# num_contours = len(contours)dims = []   # 所有的轮廓的尺寸for contour in contours:rect = cv2.minAreaRect(contour)  # 获取最小外接矩形dia = rect[1][0] if rect[1][0] <= rect[1][1] else rect[1][1]  # 计算轮廓的最短尺寸，并获取直径dims.append(dia)max_dim = max(dims)  # 最大尺寸min_dim = min(dims)  # 最小尺寸range_dim = max_dim - min_dim   # 尺寸范围for i, contour in enumerate(contours):rect = cv2.minAreaRect(contour)  # 获取最小外接矩形dia = rect[1][0] if rect[1][0] <= rect[1][1] else rect[1][1]  # 计算轮廓的最短尺寸，并获取直径k = (dia - min_dim) / range_dim    # 尺寸比例color = get_color(k)    # 获取颜色cv2.drawContours(filled_img, [contour], -1, color, -1)return filled_img# 读取原图，原图是RGB图
img = cv2.imread('1.png')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)# 查找轮廓
contours, _ = cv2.findContours(gray, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)# 填充轮廓
filled_img = fill_contours(img, contours)cv2.imshow('Filled Contours', filled_img)
cv2.waitKey(0)
cv2.destroyAllWindows()

输出：