Abstract
Nowadays Image processing methods have become indispensable in solving various medical Imaging problems. Cardiac problems are main cause for 80 % of deaths in Diabetic patients. The proposed work is mainly dealt with processing of medical images related to Diabetic Cardiomyopathy. The motto of this paper is on observing enhancement and segmentation of the cross sectional view of a blood capillary of a right coronary artery image of a diabetic patient. In this work the Results and Analysis are derived from applying Hybrid Morphological Reconstruction Technique as Pre-Processing with Watershed Segmentation Method as Post-Processing.
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Acknowledgement
The authors are thankful to SunRise University-Alwar, Rajasthan and Annamacharya Institute of Technology and Sciences, Rajampet, A.P. for providing research facilities. And also thankful to Dr. B. Jayabhaskar Rao, Diabetalogist, Diabetic Care Center Nandalur, A.P. for providing the detailed explanation of Diabetes and its abnormalities.
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Shaik, F., Sharma, A.K., Ahmed, S.M. (2016). Hybrid Model for Analysis of Abnormalities in Diabetic Cardiomyopathy. In: Bhramaramba, R., Sekhar, A. (eds) Application of Computational Intelligence to Biology. SpringerBriefs in Applied Sciences and Technology(). Springer, Singapore. https://doi.org/10.1007/978-981-10-0391-2_5
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DOI: https://doi.org/10.1007/978-981-10-0391-2_5
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