Title :
Feature extraction of wild grass by competitive neural nets
Author :
Nishida, Tsutomu ; Kurogi, Shin ; Kitamori, T.
Author_Institution :
Dept. of Control Eng., Kyushu Inst. of Technol., Kitakyushu, Japan
Abstract :
The purpose of this paper is to propose the image processing method for recognition of the features of the specific living wild grasses in a field. In this paper, we show the preprocessing method of extracting the, wild grasses from camera images based on the color, and the finding method of the features of the wild grass by pattern matching using the competitive neural networks. Moreover we show in the simulations that the extraction of the features of specific wild grass is possible by presented method.
Keywords :
computer vision; feature extraction; image colour analysis; image matching; neural nets; camera images; color extraction; competitive neural nets; feature extraction; image colors; image processing; template matching; wild grass; Cameras; Control engineering; Feature extraction; Flowcharts; Image processing; Image recognition; Neural networks; Pattern matching; Pixel; Robot vision systems;
Conference_Titel :
Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on
Print_ISBN :
981-04-7524-1
DOI :
10.1109/ICONIP.2002.1198147
