A Novel Color Reduction Based Image Segmentation Technique For Detection Of Cancerous Region in Breast Thermograms

Authors

  • Amin Habibi DQ-CCNE/UFSM
  • Mousa Shamsi

DOI:

https://doi.org/10.5902/2179460X20799

Abstract

Segmentation of an image into its components plays an important role in most of the image processing applications. In this article an important application of image processing in determination of Breast Cancer is studied, and A Novel Image Segmentation Technique is proposed in order to determine Cancer in Breast Thermograms. First, this image is converted from RGB to color space HSV. Then Breast shape is extracted by ACM algorithm. Finally, the image has segmented using Color Reduction Based algorithm. Experimental results on the acquired images show Accuracy of the proposed algorithm on the acquired images is over 90% for healthy pixels and defected ones.

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Published

2015-12-19

How to Cite

Habibi, A., & Shamsi, M. (2015). A Novel Color Reduction Based Image Segmentation Technique For Detection Of Cancerous Region in Breast Thermograms. Ciência E Natura, 37, 380–387. https://doi.org/10.5902/2179460X20799

Issue

Vol. 37 (2015): SPECIAL EDITION - PART 2

Section

Special Edition

License

To access the DECLARATION AND TRANSFER OF COPYRIGHT AUTHOR’S DECLARATION AND COPYRIGHT LICENSE click here.

 

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