Type of Material: | Thesis |
Title: | Image processing techniques for edge detection and face recognition |
Researcher: | Aradhana, D. |
Guide: | Karibasappa K. | Chennakesava Reddy A. |
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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035 | __ | |a(IN-AhILN)th_454180 |
040 | __ | |aJNTU_500028|dIN-AhILN |
041 | __ | |aeng |
100 | __ | |aAradhana, D.|eResearcher |
110 | __ | |aFaculty of Computer Science and Engineering|bJawaharlal Nehru Technological University, Hyderabad|dHyderabad|ein|0U-0017 |
245 | __ | |aImage processing techniques for edge detection and face recognition |
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 | __ | |dMay 2016|oDate of Award |
518 | __ | |oDate of Registration|d2006-01-01 |
520 | __ | |aImage processing is rapidly growing area which attracted many researchers. The researchers have tried to develop many image processing techniques for edge detection and recognition of face using soft computing tools and techniques. But there are still open problems in these areas of edge detection, filtering and recognition which are being attempted by many alternative approaches.newlineThe present research works are to study various techniques in two differentnewlinefields of image processing such as edge detection and face recognition. Thenewlineobjectives in the field of edge detection are, to identify and remove impulsivenewlinenoise from an image and to extract the dominant features of the noise removednewlineimages by changing the filter parameters in the edge detection technique. Thenewlineobjectives in the field of face recognition are, to extract features and recognize a human face from the facial image.newlineThe proposed algorithm based on adaptive neighborhood hypergraph method to identify and r |
650 | __ | |aComputer Science and Information Technology|2UGC |
650 | __ | |aEngineering and Technology|2AIU |
700 | __ | |aKaribasappa K.|eGuide |
700 | __ | |aChennakesava Reddy A.|eCo-Guide |
856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/287849|yShodhganga |
905 | __ | |afromsg |
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