openCV python编写图像由RGB转化HSV的函数

方法1:使用自带函数实现

from tkinter.tix import IMAGE

import cv2
import mpmath
import numpy as np
from numba import uint8
from streamlit.error_util import handle_uncaught_app_exception

image=cv2.imread("image\\p2.jpg")
cv2.imshow("p1",image)
cv2.waitKey(0)
cv2.destroyAllWindows()
image1=cv2.resize(image,(500,500))
cv2.imshow("p1",image1)
cv2.waitKey(0)
cv2.destroyAllWindows()


# Convert the BGR image to HSV Image
hsv_img = cv2.cvtColor(image1, cv2.COLOR_BGR2HSV)
cv2.imwrite('hsv_image.jpg', hsv_img)
h,s,v = cv2.split(hsv_img)
# Display the HSV image
cv2.imshow('HSV (cvtColor)', hsv_img)
cv2.waitKey(0)
#cv2.destroyAllWindows()

方法2：自己编写算法

//函数实现
def rgb_to_hsv(r, g, b):
    # 将RGB值转换为0-1范围内的百分比
    r = r / 255.0
    g = g / 255.0
    b = b / 255.0

    # 计算最大值和最小值
    max_value = max(r, g, b)
    min_value = min(r, g, b)

    # 计算色相（Hue）
    hue=0
    if max_value == min_value:
        hue = 0
    elif max_value == r:
        if g>b:
            hue = 60*((g - b) / (max_value - min_value))
        elif g<b:
            hue = 60*((g - b) / (max_value - min_value))+360
    elif max_value == g:
        hue = 60*((b - r) / (max_value - min_value)) + 120
    elif max_value == b:
        hue = 60*((r - g) / (max_value - min_value)) + 240
    #print(hue)
    hue =int(hue/2)


    # 计算饱和度（Saturation）
    if max_value == 0:
        saturation = 0
    else:
        saturation = 1 - (min_value / max_value)
    saturation=int(saturation*255)


    # 计算明度（Value）
    value = max_value
    value=int(value*255)

    return  hue,saturation, value






# 示例：将RGB颜色(128, 64, 192)转换为HSV颜色

B, G, R = cv2.split(image1)

#声明hsv三个通道
h_mask=np.zeros([500,500],dtype="uint8")
s_mask=np.zeros([500,500],dtype="uint8")
v_mask=np.zeros([500,500],dtype="uint8")

#整个图片遍历
for j in range(499,-1,-1):
    for i in range(499, -1, -1):
        print(j,i)
        hsv = rgb_to_hsv(R[j, i], G[j, i], B[j, i])
        h_mask[j, i] = hsv[0]
        s_mask[j, i] = hsv[1]
        v_mask[j, i] = hsv[2]
        print(hsv)



image3=cv2.merge((h_mask,s_mask,v_mask))
cv2.imshow("my_rgb_to_hsv",image3)
cv2.waitKey(0)
cv2.destroyAllWindows()