Java : image processing - how to get set of images to same standard -

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i need develop simple skin disease diagnose system using image processing , neural network. use images in neural network, image should same standard and, identify skin disease should apply image processing technique well.

but don't know image processing technique apply first , they? read references think need apply image filtering technique, edge detection technique , etc...

can expert in please specify image processing technique step step. no need coding want know image processing technique names , there order.

this reference: reference

i think when "images should same standard" mean images should represent similar patterns in similar form in order train neural network. however, suppose not train neural network using image itself, in other words, pixel values. you'll extract features images such purpose.

in case dealing patterns can recognized shape, in order use "images in same standard" should apply morphological image operations in images in dataset , extract shape features (area, width/height ratio, straight lines, angles, etc). these features attributes input vector neural network , pattern recognized output.

the question is: features necessary identify skin deseases? if need recognize spot in skin, perhaps texture features. in order extract texture features need correct brightness variance in dataset.

this tip of iceberg. start choosing image processing framework such purpose:

the post below start point:
"good resource exploring image processing in java [closed]"


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