Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/519838
Title: | Novel Applications of Fractional Derivatives in Image Preprocessing and Segmentation |
Researcher: | Khanna, Srikanth |
Guide(s): | Chandrasekaran, Venkatachalam |
Keywords: | Computer Science Computer Science Interdisciplinary Applications Engineering and Technology |
University: | Sri Sathya Sai Institute of Higher Learning |
Completed Date: | 2021 |
Abstract: | Image processing is the sequence of steps used in handling digital images for specific newlineapplications. Depending on the task at hand, this sequence may involve stages newlinelike image capture, pre-processing, segmentation, and higher analysis. No clear newlinedistinction is drawn in literature between computer vision and image processing. newlineImage processing is a ubiquitous technology in today s world. Many of the realworld intelligent utilities rely significantly on image processing in the pipeline. Image newlineanalysis applications depend heavily on good pre-processing and segmentation in newlineinitial stages of the image processing chain. This thesis contributes novel techniques newlineto these fundamental stages of digital image processing. newline |
Pagination: | |
URI: | http://hdl.handle.net/10603/519838 |
Appears in Departments: | Department of Mathematics and Computer Science |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
80_recommendation.pdf | Attached File | 166.11 kB | Adobe PDF | View/Open |
abstract.pdf | 77.14 kB | Adobe PDF | View/Open | |
annex.pdf | 665.38 kB | Adobe PDF | View/Open | |
chapter 1.pdf | 1.04 MB | Adobe PDF | View/Open | |
chapter 2.pdf | 511.29 kB | Adobe PDF | View/Open | |
chapter 3.pdf | 9.88 MB | Adobe PDF | View/Open | |
chapter 4.pdf | 10.77 MB | Adobe PDF | View/Open | |
chapter 5.pdf | 9.73 MB | Adobe PDF | View/Open | |
contents.pdf | 96.04 kB | Adobe PDF | View/Open | |
prelim.pdf | 10.64 MB | Adobe PDF | View/Open | |
title.pdf | 284.25 kB | Adobe PDF | View/Open |
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