Paper Abstract and Keywords |
Presentation |
2007-12-14 17:00
A Study on Active Net Initial Position Using DCDAM Fukuya Namba, Yasuaki Sumi (Graduate School of Tottori University of Environmental Studies), Takuya Ueta (GALAXY Inc.), Noboru Yabuki (Tsuyama National College of Technology), Takao Tsukutani (Matsue National College of Technology) PRMU2007-155 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In order to achieve the image recognition and understanding, it is indispensable to extract the object which has some features like as the character ,the person and the land mark, etc. in the image. There is Active Net as a method to extract the target. It is a pity that it is difficult to catch the target on the image edge though it is possible to extract the target from the entire screen. So various methods or techniques are proposed as a solution of the problem. However, there are often obtained results different from ones of the desire. In this paper, in order to improve the capture ability by Active Net, we have used our proposal method DCDAM and presume the position of the candidate's object. And then we have attempted to extract the target object by arranging Active Net at the presumption position. The target was able to be extracted more stably compared with the technique so far even the case there was a target on the image edge, judging from the simulation results which used a real image. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Object Extraction / Active Net / Self-Organizing Map / DCDAM / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 107, no. 384, PRMU2007-155, pp. 113-118, Dec. 2007. |
Paper # |
PRMU2007-155 |
Date of Issue |
2007-12-06 (PRMU) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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PRMU2007-155 |
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