Python Deep Learning Projects

Normalizing the image 

First, let's define the make_normalize() function, which accepts an image and performs the histogram normalization operation on it. The return object is a normalized array:

def make_normalize(img):    """Function to histogram normalize images."""    norm_img = np.zeros((img.shape[0], img.shape[1], 3),np.float32)    b=img[:,:,0]    g=img[:,:,1]    r=img[:,:,2]    norm_img[:,:,0]=cv2.equalizeHist(b)    norm_img[:,:,1]=cv2.equalizeHist(g)    norm_img[:,:,2]=cv2.equalizeHist(r)    return norm_imgplt.figure(figsize = (14,5))plt.subplot(1,2,1)plt.imshow(img_lst[9])plt.title(' Original Image')plt.subplot(1,2,2)plt.imshow(make_normalize(img_lst[9]))plt.title(' Histogram Normalized Image')

Following should be the output:

Figure 9.16: Before and After ...