Jasdeep Kaur

Work place: Department of Information Security, CEC, Landran, India

E-mail: jasdeepmavii@gmail.com


Research Interests: Image Processing, Information Security, Image Manipulation, Image Compression


Jasdeep Kaur, received her degree of B.Tech. in the discipline of Computer Science Engineering from Punjab Technical University, Jalandhar, Punjab (India ) in 2012. She is pursuing her M.Tech.(Information Security) from the same university in Chandigarh Engineering College, Landran, Punjab (India ). She has published one review paper and research paper. Her main areas of interest are Digital Image Processing (Digital Image Segmentation) and Information Security

Author Articles
Hybrid of Fuzzy Logic and Random Walker Method for Medical Image Segmentation

By Jasdeep Kaur Manish Mahajan

DOI: https://doi.org/10.5815/ijigsp.2015.02.04, Pub. Date: 8 Jan. 2015

The procedure of partitioning an image into various segments to reform an image into somewhat that is more significant and easier to analyze, defined as image segmentation. In real world applications, noisy images exits and there could be some measurement errors too. These factors affect the quality of segmentation, which is of major concern in medical fields where decisions about patients’ treatment are based on information extracted from radiological images. Several algorithms and techniques have developed for image segmentation and have their own advantages and disadvantages. Random walker method is a supervised segmentation method and it requires that it should be more efficient in producing effective segmentation results in case of medical images which are complex images. In the present paper, we are going to incorporate the advantages of fuzzy logic with a random walker to make resulting segmentation better in texture and quality. For this, we will use fuzzy rules to approximate boundaries in images which will improve segmentation results.

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