Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/212749
Title: | Hybrid CBIR frame work for medical image dataset using knowledge based resemblance synthesis filtering and mechanism of contribution |
Researcher: | Shivamurthy R C |
Guide(s): | Manjunatha M B |
Keywords: | CBIR Medical Image Dataset |
University: | Jain University |
Completed Date: | 04/08/2018 |
Abstract: | Advanced integration and deployment of computer networking technologies enabled a newlinesudden explosion in the number of ever increasing different types of internet based contents e.g. digital images , audio and video contents etc. Therefore, it leads to a situation where retrieval of those complex data in a short period of time becomes more challenging. As a newlineprimary consequence there is an immense need to develop a novel technique well capable of retrieving such complex information based on their respective content or features. The traditional paradigms found more likely to incorporate keyword annotation based image retrieval methods. newline newline |
Pagination: | 238p. |
URI: | http://hdl.handle.net/10603/212749 |
Appears in Departments: | Department of Computer Science Engineering |
Files in This Item:
File | Description | Size | Format | |
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01.titlepage.pdf | Attached File | 157.39 kB | Adobe PDF | View/Open |
02.declaration.pdf | 143.5 kB | Adobe PDF | View/Open | |
03.certificate.pdf | 165.37 kB | Adobe PDF | View/Open | |
04.acknowledgement.pdf | 87.85 kB | Adobe PDF | View/Open | |
05.abstract.pdf | 85.57 kB | Adobe PDF | View/Open | |
06.contents.pdf | 186 kB | Adobe PDF | View/Open | |
07.list of figures & tables.pdf | 201.95 kB | Adobe PDF | View/Open | |
08.chapter 1.pdf | 286.42 kB | Adobe PDF | View/Open | |
09.chapter 2.pdf | 279.3 kB | Adobe PDF | View/Open | |
10.chapter 3.pdf | 2.67 MB | Adobe PDF | View/Open | |
11.chapter 4.pdf | 2.79 MB | Adobe PDF | View/Open | |
12.chapter 5.pdf | 1.94 MB | Adobe PDF | View/Open | |
13.chapter 6.pdf | 193.85 kB | Adobe PDF | View/Open | |
14.references.pdf | 109.45 kB | Adobe PDF | View/Open |
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