Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/449820
Title: Studies on advanced heuristic methods in soft computing for medical image processing
Researcher: Mithya V
Guide(s): Nagaraj B
Keywords: Engineering and Technology
Engineering
Engineering Biomedical
image data
medical image
Content-Based Image
University: Anna University
Completed Date: 2022
Abstract: The term and#8215;data is common for all kinds of applications in different domains and it may be in any format. For instance, the data can be in the form of text, image, audio and video clips. Among all types of data, image data is quite popular due to its better information portrayal. Most of the real-time applications right from healthcare to remote sensing utilize image data for data processing and analysis. The image data are effective for acquisition, processing and analysis which make it highly suitable for sensitive applications. newlineThe healthcare domain widely utilizes the medical images for ensuring better analytics and diagnostics. Different imaging techniques are available for capturing the medical images and it depends on the ailment. The medical images are analysed by the medical experts and appropriate diagnosis is made. The medical image analysis is a vast research topic and this work focuses on medical image quality enhancement and Content-Based Image Retrieval (CBIR) systems. newlineThe quality of the medical image is crucial and it determines the efficiency of the image analytical system. On the other hand, obtaining the needed image is a significant problem when the application deals with an enormous amount of image data. Understanding newline
Pagination: xv, 117p.
URI: http://hdl.handle.net/10603/449820
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File24.08 kBAdobe PDFView/Open
02_prelim pages.pdf1.95 MBAdobe PDFView/Open
03_content.pdf189.2 kBAdobe PDFView/Open
04_abstract.pdf293.66 kBAdobe PDFView/Open
05_chapter 1.pdf521.77 kBAdobe PDFView/Open
06_chapter 2.pdf434.36 kBAdobe PDFView/Open
07_chapter 3.pdf1.03 MBAdobe PDFView/Open
08_chapter 4.pdf880.64 kBAdobe PDFView/Open
09_chapter 5.pdf1.12 MBAdobe PDFView/Open
10_annexures.pdf198.77 kBAdobe PDFView/Open
80_recommendation.pdf135.55 kBAdobe PDFView/Open
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