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problem with segments and local features in image processing

User: "kersor"
New Altair Community Member
Updated by Jocelyn
hello all,

i'm trying to build a model that has input data set 15 pictures of mammography that has tumor.I would like to classify them,so when i test an another picture to classify it as "photo with cancer" or "photo without cancer",

Fisrtly, i tried with the segment feature extractor and tried to do something like the examples in the IMMI - Rapidminer 5 Image Mining Extension.My problem is that although the segmets are guite good, it hasn't good performance(in the same photos).What can i do to increase the performance,i tried everything.

Secondly i tried with the local feature extractor(with fitness mask) but also i have not good performance although i tried all different parameters(window step,prob white,prob black).The examples set visualize(with modvis) is guite good for me but when i tried in another process to clasify the same picture the cancer local features are irrelevant.any help it woyld be appreciated.If everyone wants a picture to test it just le me know

The code with the segments is: i cant posts the codes cause i exceed the maximum allowed length what can i do?


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