图像色彩空间变换（RGB->HIS、HIS->RGB)的算法实现用python

好的，针对你的问题，我可以给出以下Python算法实现：

1. RGB转HIS

import numpy as np

def rgb_to_his(rgb):
    # 将RGB值转换为[0,1]范围内的浮点数
    r, g, b = rgb[0]/255.0, rgb[1]/255.0, rgb[2]/255.0
    cmax, cmin = max(r, g, b), min(r, g, b)
    # 计算亮度值（I）
    intensity = (cmax + cmin) / 2.0
    if cmax == cmin:
        return np.array([0.0, 0.0, intensity])
    # 计算饱和度（S）
    chroma = cmax - cmin
    if intensity < 0.5:
        saturation = chroma / (cmax + cmin)
    else:
        saturation = chroma / (2.0 - cmax - cmin)
    # 计算色相（H）
    if r == cmax:
        hue = (g - b) / chroma
    elif g == cmax:
        hue = 2.0 + (b - r) / chroma
    else:
        hue = 4.0 + (r - g) / chroma
    hue *= 60.0
    if hue < 0:
        hue += 360.0
    return np.array([hue, saturation, intensity])

2. HIS转RGB

import numpy as np

def his_to_rgb(his):
    hue, saturation, intensity = his[0], his[1], his[2]
    if saturation == 0:
        r, g, b = intensity, intensity, intensity
    else:
        if hue == 360:
            hue = 0
        hue /= 60.0
        i = int(hue)
        f = hue - i
        p = intensity * (1.0 - saturation)
        q = intensity * (1.0 - saturation * f)
        t = intensity * (1.0 - saturation * (1.0 - f))
        if i == 0:
            r, g, b = intensity, t, p
        elif i == 1:
            r, g, b = q, intensity, p
        elif i == 2:
            r, g, b = p, intensity, t
        elif i == 3:
            r, g, b = p, q, intensity
        elif i == 4:
            r, g, b = t, p, intensity
        else:
            r, g, b = intensity, p, q
    # 将RGB值转换为[0,255]范围内的整数
    return np.array([int(r*255.0), int(g*255.0), int(b*255.0)])

以上就是RGB和HIS之间的转换算法实现，希望能够对你有所帮助。