thanks, it works perfect for me !
does exactly what I need
another question: can you make little 'IM' jobs for me ?
I still have some work where I have no solutions ....
I like to pay for good solutions
or you know who make it
many thanks for the help. i understand the point 1. and 2. and i think i understand the way from 3. and 4. on the hompage "Gain and Bias" i can see that i have to read the infos of the image, but i dont understand, how i can do it with (-level) can you give me a example ? or is necessary to develop ...
give it a solution tu use [ convert -normalize ] but ignore any edges of a image ?
for example: only calculate 85% (yellow part) of the image and ignore 15% of the edges. the result have to be like my image out.jpg , ( but with the edges !! ) .
oh ... thanks
with the -format "%@" the script can run faster.
i think the performance of the script is a important factor for very large and thousends of images.
no, is not a 'bad trim'
i think the IM 'trim' function is a perfectly solution for 'auto-crop' the most images with color-borders .
only i need defined limits of crop.
if i fill out the image after trimming, the problem is the position of the trimmed part. here a example with the moon: http://www.webform.ch/ttt/hc_106.jpg
example A after convert A.jpg -bordercolor black -fuzz 20% -trim B.jpg
if i fill out to the original size , the moon is in the middle of ...
hi,
how i can convert -trim images with black borders , but many images have also a big black background. how i can 'trim' not more then for example 15-20 pixels on the edge ?