imshow("src",src);//将图片转HSV色彩空间Mat hsv; cvtColor(src,hsv,COLOR_BGR2HSV); Mat mask;//掩码遮罩//使用inRang过滤像素inRange(hsv,Scalar(15,30,32),Scalar(50,255,255),mask); imshow("result",mask);//执行形态学操作去除噪声Mat kernel = getStructuringElement(MORPH_RECT,Size(5,5),Po...
hsv=cv2.cvtColor(opencv, cv2.COLOR_BGR2HSV) cv2.imshow('opencv', opencv)#===指定蓝色值的范围===minBlue = np.array([110, 50, 50]) maxBlue= np.array([130, 255, 255])#确定蓝色区域mask =cv2.inRange(hsv, minBlue, maxBlue)#通过掩码控制的按位与运算,锁定蓝色区域blue = cv2.bitwise_...
在OpenCV中我们有时候提取样本的时候可能会通过颜色来进行提取,那HSV颜色空间在这个时候就可以加以利用上了,本章主要是解决HSV颜色空间(摘自网上文章,在此留用),用于对HSV一个基本的认识了解。 HSV颜色系统简介 HSV是一种在人们生活中甚至更常用的颜色系统,在电视遥控器上、在画画的调色板中、在你用爱某艺视频调整...
cv2.COLOR_BGR2HSV)sensitivity=15# define range of blue color in HSVlower_blue=np.array([120-sensitivity,100,100])upper_blue=np.array([120+sensitivity,255,255])# Threshold the HSV image to get a range of blue colormask_blue=cv2.inRange(hsv,lower_blue,upper_blue)kernel...
(hsv,float)#对图片的每个像素点进行HSV->RGB的转换foryinrange(H):forxinrange(W):h_index=h[y,x]//60#根据色调判断色区 #商h_remain=h[y,x]/60-h_index#余数(除60)#根据RGB->HSV的公式反解,求从大到小的三个值Cmax=v[y,x]Cmin=v[y,x]*(1-s[y,x])Cmid_pos=v[y,x]*(1-s[y...
hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV) sensitivity = 15 # define range of blue color in HSV lower_blue = np.array([120-sensitivity,100,100]) upper_blue = np.array([120+sensitivity,255,255]) # Threshold the HSV image to get a range of blue color ...
mask = cv2.bitwise_or(mask_0, mask_1)使用 cv2:inRange() 作为基于颜色的阈值。 然后就可以使用该 HSV 值范围进行目标物体的提取。 import cv2 import numpy as np path = "compass.jpg" img = cv2.imread(path) # Convert BGR to HSV hsv = cv2.cvtColor(img, cv2.COLOR_BGR...
the current figure (gcf). If no figure exists, then the number of rows is equal to the default length of 256. Each row in the array contains the red, green, and blue intensities for a specific color. The intensities are in the range [0,1], and the color scheme looks like this ...
对于沙子颜色)。但在OpenCV中，色调度数被除以2，以使其适合255以下，因此色调值更接近于10到20。
private Color targetColor = Color.red; /// /// 颜色偏移的范围 /// [Range(0, 1f), SerializeField, Tooltip("颜色偏移的范围")] private float range = 0.1f; [Header("偏移后")] /// /// 色调的偏移 /// [Range(-0.5f, 0.5f...