| Type of Material: | Thesis |
| Title: | Image pattern analysis using machine learning |
| Researcher: | Jena, Pradeep Kumar |
| Guide: | Khuntia, Bonomali | Panigrahi, Trilochan |
| Department: | Department of Computer Science |
| Publisher: | Berhampur University, Berhampur |
| Place: | Berhampur |
| Year: | 2023 |
| Language: | English |
| Subject: | Computer Science | Computer Science Information Systems | Engineering and Technology | Computer Science and Applications | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Department of Computer Science, Berhampur University, Berhampur, Berhampur; 2023 |
| Fulltext: | Shodhganga |
| 003 | IN-AhILN | |
| 005 | 2026-10-14 17:26:45 | |
| 008 | __ | 261014t2023||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_464225 |
| 040 | __ | |dIN-AhILN|aBRMP_760007 |
| 041 | __ | |aeng |
| 100 | __ | |eResearcher|aJena, Pradeep Kumar |
| 110 | __ | |aDepartment of Computer Science|0U-0350|dBerhampur|bBerhampur University, Berhampur|ein |
| 245 | __ | |aImage pattern analysis using machine learning |
| 260 | __ | |aBerhampur|c2023|bBerhampur University, Berhampur |
| 300 | __ | |a170p.|dCD |
| 502 | __ | |cDepartment of Computer Science, Berhampur University, Berhampur, Berhampur|d2023|bPhD |
| 518 | __ | |oDate of Award|d2024 |
| 518 | __ | |d2016|oDate of Registration |
| 518 | __ | |d2023|oDate of Completion |
| 520 | __ | |aThe advancement in machine learning techniques and high-speed computing systems boosted the image data analysis and interpretation. Enhanced deep learning methods using multi-level training such as transfer learning helps to learn better the class properties. This has enriched the domain of image analysis and insight information extraction. The deep learning technique is used for automatic image feature extraction, image classification, and image segmentation. The use of high-quality imaging techniques in the health care system and popularity of image and video data in social media has made image analysis one of the most demanding research areas in computer vision. The objective of this thesis is to develop an enhanced framework (a) for medical image analysis, (b) to build an image retrieval system using better semantic features of the image and feature fusion, (c) to design enriched scanned document information extraction systems. The models are developed using deep learning and feature fusion |
| 650 | __ | |aComputer Science and Applications|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aComputer Science |
| 653 | __ | |aComputer Science Information Systems |
| 653 | __ | |aEngineering and Technology |
| 700 | __ | |aKhuntia, Bonomali|eGuide |
| 700 | __ | |aPanigrahi, Trilochan|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/661797|yShodhganga |
| 905 | __ | |afromsg |
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