image segment

def filter_color(L_val_min, A_val_min, A_val_max, B_val_min, B_val_max):
    filtered_image = np.copy(cimage)
    for xi in range(x):
        for yi in range(y):
            L_val = lab_img[xi,yi][0] 
            A_val = lab_img[xi,yi][1] 
            B_val = lab_img[xi,yi][2]
            if L_val > L_val_min and A_val > A_val_min and A_val < A_val_max  and B_val > B_val_min and B_val < B_val_max:
                pass
            else:
                filtered_image[xi, yi] = [255,255,255]   
    return filtered_image

lab_img = color.rgb2lab(cimage)
yellow = filter_color(70, -50, 0, 30, 100)
red = filter_color(30, 25, 100, 0, 100)
green = filter_color(50, -128, -20, 0, 50)
blue = filter_color(50,-40, 30, -128, -20)
white = filter_color(93, -25, 25, -25, 25)
pink = filter_color(50, 20,128,-50,0)

fig, ax = plt.subplots(nrows=3, ncols=2, figsize=(20,20))
ax[0][0].imshow(pink)
ax[0][0].set_title("pink Candies")
ax[0][0].axis('off')

ax[0][1].imshow(yellow)
ax[0][1].set_title("yellow Candies")
ax[0][1].axis('off')

ax[1][0].imshow(red)
ax[1][0].set_title("red Candies")
ax[1][0].axis('off')

ax[1][1].imshow(green)
ax[1][1].set_title("green Candies")
ax[1][1].axis('off')

ax[2][0].imshow(white)
ax[2][0].set_title("white Candies")
ax[2][0].axis('off')

ax[2][1].imshow(blue)
ax[2][1].set_title("blue Candies")
ax[2][1].axis('off')