##DATA NEW - WITH LBP

with open("dataall.csv", "w") as fo:

    fo.write("filename,data,class\n")

    for i in glob.glob("D:\FYPPP\Getah\ORI\*.PNG"):

        print(i)

        label = i.split("-")[1].split(".")[0]
        label = 0 if label == 'S' else 1

        #show original image
        ori = imread(i)

        #change to gray
        im = cv2.imread(i, cv2.IMREAD_GRAYSCALE)

        #contrast
        icon = exposure.rescale_intensity(im, in_range=(np.percentile(im,5), np.percentile(im,20)))
        with warnings.catch_warnings():
            warnings.simplefilter("ignore")
            dt = img_as_ubyte(icon)

        # make image blur
        imed = cv2.medianBlur(icon.astype(np.uint8), 3)
        plt.imshow(imed,cmap=plt.get_cmap('gray') )
        plt.show()

        #LBP
        print("LBP with thresh")
        radius = 3
        n_points = 8 * radius
        lbp = local_binary_pattern(imed, n_points, radius, 'ror')
        plt.imshow(imed,cmap=plt.get_cmap('gray') )
        plt.show()

        data = '-'.join(map(str,lbp.flatten().tolist()))

        fo.write("{},{},{}\n".format(i, data, label))