color detection and change color

[Neil]

OK, in that case here's another idea: 

   - apply a face detection algorithm (not yet in skimage - there is a 
   recent discussion on this. perhaps you can contribute? in the meantime, 
   OpenCV has one). 
   - based on the location of the face, you can take a guess about the 
   location of the upper body. e.g. it is within a box below the head that is 
   X times face width, and Y times face height (X & Y to be determined through 
   experiments)
   - given the bounding box of the shirt, determine the dominant color and 
   or texture (e.g. using a histogram). use this to create a "shirt mask"
   - replace shirt mask pixels with desired fabric

As you can see, solving a general problem (no control over capture 
conditions) is harder, but if you make a few assumptions you can probably 
get a reasonable result.

Neil

On Wednesday, 19 March 2014 18:05:13 UTC, Aswani Kumar wrote:
>
> Thank you neil,
>
> but i don't have control on the images, i need to do this apply for 
> existing images in inventory of a apparel shopping site. Is there any way 
> to do this? i can do prefer hard way too...
>
> On Sunday, March 16, 2014 5:35:45 AM UTC+5:30, Neil wrote:
>>
>> Do you have control over the photos? If so, here is a simple approach: 
>> have the model wear a green shirt, as this will make shirt detection and 
>> fabric replacement much easier. Then the basic idea is to (1) convert the 
>> image to a color space that separates color (hue) from intensity and 
>> saturation (skimage can do this), (2) create a mask that identifies "green" 
>> pixels in the image (this will be a range of values in the hue dimension), 
>> (3) replace the green pixels with your fabric pattern.
>>
>> I hope that helps!
>>
>> Neil
>>
>>
>> On Saturday, 15 March 2014 11:42:59 UTC, Aswani Kumar wrote:
>>>
>>> Hi,
>>>
>>> i am a python/django developer.
>>>
>>> i am looking for a solution to replace fabric in an image, So the 
>>> solution should detect shirt and change color based on choice.
>>>
>>> Is it possible to do that using scikit? if yes, please give me any 
>>> little idea to help straight to the point.
>>>
>>
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