Indian Journal of Science and Technology
DOI: 10.17485/ijst/2017/v10i7/85163
Year: 2017, Volume: 10, Issue: 7, Pages: 1-4
Original Article
Vijai Singh1*, A. K. Misra2 and Varsha Singh3
1Computer Science Department, IMS Engineering College, Ghaziabad – 201009, Uttar Pradesh, India; [email protected] 2Computer Science and Engineering, Department MNNIT Allahabad UP, Teliarganj, Allahabad – 211004, Uttar Pradesh, India 3IT Department, JSSATE, Noida – 201301, Uttar Pradesh, India
*Author for the correspondence:
Vijai Singh
Computer Science Department, IMS Engineering College, Ghaziabad – 201009, Uttar Pradesh, India;
E-mail: [email protected]
Objectives: Cardiac Image Segmentation field have a lot of difficulties when we take the big changes in sequences of images that are of different types. In image sequences, Segmentation of objects which are not fixed is more challenging. To handle such situations, use of Improved Genetic Algorithm for Image Segmentation of Cardiac images is presented.Methods: We propose an algorithm based on Improved Genetic Algorithm, for segmentation of medical image sequences, which uses K-mean clustering. For clustering in the feature space, we used feature vector of two- dimension. Findings: In our paper, for Cardiac Image Segmentation, we are presenting a state of art review of various methods and techniques. Various sequences of Cardiac image have been Registered, and then for segmentation process, single image is used.Novelty/ Improvement: Satisfactory results have been given by the experiments done on Cardiac images.
Keywords: Cardiac Image Segmentation, Clustering, Genetic Algorithm, Image Segmentation
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