问题描述
概述:
第一张照片是我的原始照片。在这里,我想用另一个图像替换显示的白色矩形。
The first picture is my original image. Here I want to replace the white rectangle shown with another image.
我的方法:
我有使用 floodfill
创建了一个掩码图像,它看起来像:
I have created a mask image using floodfill
and it looks as:
问题:
现在我想获得第二张图像中矩形的距离或坐标,这样我就可以使用这些坐标在第一张图像的顶部叠加新图像(原始图像)在这里。
Now I would like to get the distance or co-ordinates of the rectangle in the second image so that I can use those co-ordinates to overlay a new image on top of the first (original image) here.
我有点想法使用ImageMagick的形态运算符,但不知道我怎么做。
I got a little idea to use ImageMagick's chebyshev morphology operator, but don't know how I can do that.
推荐答案
我认为你可以用as非常准确地定位形状实现阈值,如下所示:
I think you can locate the shape pretty accurately with a simple threshold, like this:
convert image.jpg -threshold 90% result.jpg
然后你可以像这样做一个Canny边缘检测:
and you can then do a Canny edge detection like this:
convert image.jpg -threshold 90% -canny 0x1+10%+30% result.jpg
接下来的事情我会正在使用 -trim
函数来查找修剪框坐标,如下所示:
The next things I would be looking at are, using the -trim
function to find the trim box coordinates, like this:
convert result.jpg -format "%@" info:
320x248+152+40
我在下面用红色标记了。
I have marked that on in red below.
如果你真的想做修剪,请使用:
If you actually want to do the trim, use this:
convert result.jpg -trim result.jpg
此外,还有偏斜角度
convert result.jpg -deskew 40 -format "%[deskew:angle]" info:
-0.111906
霍夫线检测也可能对您有效:
A Hough line detection may also be effective for you like this:
convert image.jpg -threshold 90% -canny 0x1+10%+30% \
\( +clone -background none \
-fill red -stroke red -strokewidth 2 \
-hough-lines 5x5+80 -write lines.mvg \
\) -composite hough.png
文件 lines.mvg
包含您要查找的4行
And the file lines.mvg
contains the 4 lines you are looking for
# Hough line transform: 5x5+80
viewbox 0 0 640 360
line 449.259,0 474.432,360 # 90
line 0,72.5604 640,27.8072 # 143
line 0,293.098 640,248.344 # 187
line 153.538,0 178.712,360 # 153
有点懒,我不想解决交叉点那些线,所以我想我也让ImageMagick这样做 - 通过使用Morphology寻找这样的Line Junctions:
Being a bit lazy, I didn't feel like solving for the intersections of those lines, so I thought I'd let ImageMagick do that too - by using Morphology to look for Line Junctions like this:
convert image.jpg -threshold 90% -canny 0x1+10%+30% \
\( +clone -background none -fill red -stroke red -hough-lines 5x5+80 \) \
-composite -fuzz 50% -fill black -opaque white \
-morphology HMT LineJunctions hough.png
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