Different Image Pre-Processing and Feature Extraction Techniques for Breast Cancer Detection in LabVIEW

Author(s):

Bhagyashri Kailas Yadav , VEERMATA JIJABAI TECHNOLOGICAL INSTITUTE,MUMBAI; Dr. Prof. M. S. Panse, VEERMATA JIJABAI TECHNOLOGICAL INSTITUTE,MUMBAI

Keywords:

Breast cancer, Pre-processing, Mammography, MIAS Data, Median Filter

Abstract:

The Image pre-processing plays an important role in Breast cancer detection. Mammography images are usually preferred for breast cancer detection analysis. Images should be pre-processed to remove the noise, preserve the edges of an image, and enhance the image quality for carrying out further image analysis. The filtering techniques available for image pre-processing are an average filter, adaptive median filter, median filter. This paper provides various pre-processing techniques for breast cancer detection using noisy MIAS images. The pre-processed results are evaluated by feature extraction.

Other Details:

Manuscript Id	:	IJSTEV4I7028
Published in	:	Volume : 4, Issue : 7
Publication Date	:	01/02/2018
Page(s)	:	56-58

Download Article