python opencv根据颜色进行目标检测的方法示例

#! /usr/bin/env python
# -*- coding: utf-8 -*-

import numpy as np
import cv2

def colorDetect():
 image = cv2.imread('./1.png')
 # 使用RGB颜色空间检测红 蓝 黄 灰，设置合适的阈值
 boundaries = [
 ([17, 15, 100], [50, 56, 200]),
 ([86, 31, 4], [220, 88, 50]),
 ([25, 146, 190], [62, 174, 250]),
 ([103, 86, 65], [145, 133, 128])
 ]

 for lower, upper in boundaries:
 lower = np.array(lower, dtype='uint8')
 upper = np.array(upper, dtype='uint8')
 # 低于lower和高于upper的像素为黑色，lower-upper之间的像素为白色
 mask = cv2.inRange(image, lower, upper)
 # 利用蒙版，进行图像的逻辑与运算
 output = cv2.bitwise_and(image, image, mask=mask)

 cv2.imshow('image', np.hstack([image, output]))
 cv2.waitKey(0)
 cv2.destroyAllWindows()

def main():
 colorDetect()

if __name__ == "__main__":
 main()

boundaries = [
 ([17, 15, 100], [50, 56, 200]),
 ([86, 31, 4], [220, 88, 50]),
 ([25, 146, 190], [62, 174, 250]),
 ([103, 86, 65], [145, 133, 128])
]