Title :
Self-organizing feature map with position information and spatial frequency information
Author :
Nakagawa, Toshio ; Ito, Takayuki
Author_Institution :
NHK Sci. & Tech. Res. Lab., Tokyo, Japan
Abstract :
The representation of scale - position information of local features in images is discussed. A feature map is proposed on which scale information is represented in position explicitly in the same manner of position information. The result of a computer simulation to self-organize such a feature map by using a retina-like filter set in the case of one-dimensional input data is shown. This feature map seems useful for scale invariant image recognition
Keywords :
filtering theory; image recognition; image representation; self-organising feature maps; 1D input data; computer simulation; position information; retina-like filter set; scale - position information; scale invariant image recognition; self-organising feature maps; spatial frequency information; Computer vision; Data mining; Frequency; Humans; Image processing; Image recognition; Image resolution; Information filtering; Information filters; Spatial resolution;
Conference_Titel :
Neural Networks for Processing [1993] III. Proceedings of the 1993 IEEE-SP Workshop
Conference_Location :
Linthicum Heights, MD
Print_ISBN :
0-7803-0928-6
DOI :
10.1109/NNSP.1993.471885
