Type of Material: | Thesis |
Title: | Vision based hexagonal image processing |
Researcher: | Veni, S |
Guide: | Narayanankutty, K A |
Department: | Dept. of Electronics and Communication Engineering |
Publisher: | Amrita Vishwa Vidyapeetham (University) |
Place: | Coimbatore |
Year: | January 2012 |
Language: | English |
Subject: | Hexagonal image processing | Gaussian filters | Gabor filters | Boundary contour system | Image pixel |
Dissertation/Thesis Note: | PhD |
Fulltext: | Shodhganga |
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035 | __ | |a(IN-AhILN)th_256966 |
040 | __ | |aAVVP_641112|dIN-AhILN |
041 | __ | |aeng |
100 | __ | |aVeni, S|eResearcher |
110 | __ | |aDept. of Electronics and Communication Engineering|bAmrita Vishwa Vidyapeetham (University)|dCoimbatore |
245 | __ | |aVision based hexagonal image processing |
260 | __ | |aCoimbatore|bAmrita Vishwa Vidyapeetham (University)|cJanuary 2012 |
502 | __ | |bPhD |
518 | __ | |oDate of Notification|d2012-01 |
520 | __ | |aAbout 97% receptive field of the neurons is very closely described as 2D Gabor wavelet and it is mostly suitable for vision system modeling [8]. Immense work is available on texture information, especially for rectangular structures [37- 40]. However, t |
653 | __ | |aHexagonal image processing |
653 | __ | |aGaussian filters |
653 | __ | |aGabor filters |
653 | __ | |aBoundary contour system |
653 | __ | |aImage pixel |
700 | __ | |aNarayanankutty, K A|eGuide |
856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/3894|yShodhganga |
905 | __ | |anotification |
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