myrgb2lab.py 文件源码

python
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项目:Linear-Spectral-Clustering-Superpixel-Segmentation-Algorithm_Python 作者: shifvb 项目源码 文件源码
def myrgb2lab(I: np.ndarray, row_num: int, col_num: int):
    """
    change rgb to lab format
    :param I: rgb format image
    :return:
        L: L channel, range from 0 to 255, dtype: uint8, shape: (row_num * col_num,)
        a: a channel, range from 0 to 255, dtype: uint8, shape: (row_num * col_num,)
        b: b channel, range from 0 to 255, dtype: uint8, shape: (row_num * col_num,)
    """
    lab_img = color.rgb2lab(I).transpose([2, 1, 0])
    L = lab_img[0].copy().reshape([row_num * col_num])
    a = lab_img[1].copy().reshape([row_num * col_num])
    b = lab_img[2].copy().reshape([row_num * col_num])
    L /= (100 / 255)  # L is [0, 100], change it to [0, 255]
    L += 0.5
    a += 128 + 0.5  # A is [-128, 127], change it to [0, 255]
    b += 128 + 0.5  # B is [-128, 127], change it to [0, 255]
    return L.astype(np.uint8), a.astype(np.uint8), b.astype(np.uint8)
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