根据垂直项目切片图像

Question

根据帖子Vertical projection and horizontal projection 我试图得到没有运气的字符分离结果。

img = cv2.imread(image_name, 0)
    img = cv2.bitwise_not(img)
    y = verticalProjection(img)
    plt.plot(y)
    height_hist = np.histogram(y, bins=400)

    # Find bin with the second largest number of values:
    bin = np.argsort(height_hist[0])[-2]
    print(bin)
    # Get the limit values of the bin:
    y_low, y_high = height_hist[1][bin], height_hist[1][bin + 1]
    print(y_low, y_high)
    # Go over the vertical projection values and separate to characters:
    zero = y[0]  # Assuming the first projected value is outside of the word
    char_list = {}
    i = 0
    char_list_dict = defaultdict(list)

    inside_char = False
    counter = 0
    while i < len(y):
        if y[i] != zero:
            start = i  # start of char

            # Find end of current char:
            for j in range(i, len(y)):
                if y_low <= y[i] and y[i] <= y_high:
                    end = j  # end of char
                    char_list_dict[counter].append([start, end])  # add to char list

                    i = end

            # Find the start of the next char:
            for j in range(i, len(y)):
                if y_low > y[i] or y[i] > y_high:
                    i = j
                    counter = counter + 1


        else:
            i += 1

    print(char_list)
    lines = [[]]
    prev = char_list[0][0]
    for x0, x1 in char_list_dict:
        print("coords:", x1.values())
        image_slice=y[x0:180]

        plt.plot(image_slice)
        plt.show()

    all_slices = []