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Code Issues Releases Wiki Activity

fix cropping with edge imperfections (#1435)

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* improve detection of edge imperfections for cropping

* increase imperfections ratio

* fil in edge too

* fine tune the constants
This commit is contained in:
Alex Xu
2026-09-12 17:35:05 -07:00
committed by GitHub
parent ea532c709b
commit cb7592dcd0
1 changed files with 27 additions and 9 deletions
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kindlecomicconverter/page_number_crop_alg.py
+27 -9
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@@ -1,4 +1,5 @@
from PIL import ImageOps, ImageFilter, ImageFile from PIL import ImageOps, ImageFilter, ImageFile
from PIL.Image import Image
import numpy as np import numpy as np
from .common_crop import threshold_from_power, group_close_values from .common_crop import threshold_from_power, group_close_values
@@ -149,22 +150,39 @@ def get_bbox_crop_margin(img, power=1, background_color='white'):
return bw_img.getbbox() return bw_img.getbbox()
def ignore_pixels_near_edge(bw_img): def ignore_pixels_near_edge(bw_img: Image):
w, h = bw_img.size w, h = bw_img.size
# going 0.02-0.03 was too much
if int(0.02 * h) == int(0.025 * h):
return
if int(0.02 * w) == int(0.025 * w):
return
edge_bbox = [ edge_bbox = [
(0, 0, w, int(0.02 * h)), (0, 0, w, int(0.02 * h)),
(0, int(0.98 * h), w, h), (0, int(0.98 * h), w, h),
(0, 0, int(0.02 * w), h), (0, 0, int(0.02 * w), h),
(int(0.98 * w), 0, w, h) (int(0.98 * w), 0, w, h)
] ]
for box in edge_bbox:
edge = bw_img.crop(box) inner_bbox = [
h = edge.histogram() (int(0.02 * w), int(0.02 * h), int(0.98 * w), int(0.025 * h)), # top
if not edge.height or not edge.width: (int(0.02 * w), int(0.975 * h), int(0.98 * w), int(0.98 * h)), # lower
continue (int(0.02 * w), int(0.02 * h), int(0.025 * w), int(0.98 * h)), # left
imperfections = h[255] / (edge.height * edge.width) (int(0.975 * w), int(0.02 * h), int(0.98 * w), int(0.98 * h)), # right
if imperfections > 0 and imperfections < .02: ]
bw_img.paste(im=0, box=box)
for edge_box, inner_box in zip(edge_bbox, inner_bbox):
inner_edge = bw_img.crop(inner_box)
h = inner_edge.histogram()
imperfections = h[255] / (inner_edge.height * inner_edge.width)
if imperfections > 0 and imperfections < .001:
bw_img.paste(im=0, box=inner_box)
if imperfections < .001:
edge = bw_img.crop(edge_box)
edge_h = edge.histogram()
if edge_h[-1] != 0:
bw_img.paste(im=0, box=edge_box)
def box_intersect(box1, box2, max_dist): def box_intersect(box1, box2, max_dist):