| 39 | |
| 40 | # 投影法去干扰线 |
| 41 | def pointmidu(binary_image_name, midu_image_name): |
| 42 | im = Image.open(binary_image_name) |
| 43 | w, h = im.size |
| 44 | # print w, h |
| 45 | len = 5 |
| 46 | for x in range(0, w, len): |
| 47 | box = (x, 0, x+len, h) |
| 48 | im_box = im.crop(box) |
| 49 | num = numpoint(im_box) |
| 50 | # print num |
| 51 | if num < 20: |
| 52 | for i in range(x, x+len): |
| 53 | for j in range(h): |
| 54 | im.putpixel((i, j), 255) # 0-黑色，255-白色 |
| 55 | data = list(im.getdata()) |
| 56 | data_column = [] |
| 57 | for x in range(w): |
| 58 | temp = 0 |
| 59 | for y in range(h): |
| 60 | if data[y*w+x] == 0: # 0-黑色，255-白色 |
| 61 | temp += 1 |
| 62 | data_column.append(temp) |
| 63 | # print data_column |
| 64 | start = 0 |
| 65 | for i in range(0, w, 1): |
| 66 | if data_column[i] != 0: |
| 67 | break |
| 68 | else: |
| 69 | start += 1 |
| 70 | # print start |
| 71 | end = w-1 |
| 72 | for j in range(w-1, -1, -1): |
| 73 | if data_column[j] != 0: |
| 74 | break |
| 75 | else: |
| 76 | end += -1 |
| 77 | # print end |
| 78 | box_new = (start, 0, end+1, h) |
| 79 | im_box_new = im.crop(box_new) |
| 80 | im_box_new.save(midu_image_name) |
| 81 | |
| 82 | # 图像增强 |
| 83 | def filter_enhance(midu_image_name, midu_image_name_pro1): |