| Type of Material: | Thesis |
| Title: | An effective representation of shape for object recognition and classification based on statistical and structural features |
| Researcher: | Karuna, Gotlur |
| Guide: | Chandrasekhar Reddy P. | Srinivasa Rao M. |
| Department: | Faculty of Computer Science and Engineering |
| Publisher: | Jawaharlal Nehru Technological University, Hyderabad |
| Place: | Hyderabad |
| Year: | 2016 |
| Language: | English |
| Subject: | Computer Science and Information Technology | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Faculty of Computer Science and Engineering, Jawaharlal Nehru Technological University, Hyderabad, Hyderabad; 2016 |
| Fulltext: | Shodhganga |
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| 003 | IN-AhILN | |
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| 035 | __ | |a(IN-AhILN)th_454199 |
| 040 | __ | |aJNTU_500028|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aKaruna, Gotlur|eResearcher |
| 110 | __ | |aFaculty of Computer Science and Engineering|bJawaharlal Nehru Technological University, Hyderabad|dHyderabad|ein|0U-0017 |
| 245 | __ | |aAn effective representation of shape for object recognition and classification based on statistical and structural features |
| 260 | __ | |aHyderabad|bJawaharlal Nehru Technological University, Hyderabad|c2016 |
| 300 | __ | |dDVD |
| 502 | __ | |cFaculty of Computer Science and Engineering, Jawaharlal Nehru Technological University, Hyderabad, Hyderabad|d2016|bPhD |
| 518 | __ | |dJuly 2016|oDate of Award |
| 518 | __ | |oDate of Registration|d2011-01-01 |
| 520 | __ | |aShape description and analysis is a fundamental problem for many applications of image processing. An efficient framework for analyzing image objects is mainly based on color, texture and shape. In addition, the size of the object, length of the shape, separation of the shapes of object, connectivity and other qualitative behavioral aspects of the shape are important features. However, shape is a prominent and basic feature used to describe image content for analyzing, recognizing and classifying objects. The object recognition becomes a difficult process when the shape of an image is corrupted with noise, distortion and occlusion.newlineThe requirements of an efficient shape representation method are exigent due to the developments in image processing. The two representation methods of shape are contour based and region based. Many limitations exist in shape representation methods such as shape context, shape tree and curvature scale space. Therefore an efficient representation of shape isnewlinerequired f |
| 650 | __ | |aComputer Science and Information Technology|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 700 | __ | |aChandrasekhar Reddy P.|eGuide |
| 700 | __ | |aSrinivasa Rao M.|eCo-Guide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/287859|yShodhganga |
| 905 | __ | |afromsg |
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