Map automatic input based on NN and GAs

Author

Zihua, Guo ; Au, O.C.

Author_Institution

Dept. of Electr. & Electron. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, Hong Kong

Volume

2

fYear

1999

fDate

36342

Firstpage

306

Abstract

With some intelligent algorithms, such as genetic algorithms (GA) and Kohonen neural network (NN), in addition to traditional digital image processing algorithms, a color map automatic input algorithm is proposed in this paper which is important for the data acquisition of CAD and GIS. These have been realized in our Digital Map System (DMS). In this paper, a new color image segmentation algorithm based on color space transformation and vectorization algorithm based on GA are presented in detail

Keywords

cartography; data acquisition; genetic algorithms; geographic information systems; image segmentation; self-organising feature maps; CAD; Digital Map System; GIS; Kohonen neural network; color image segmentation algorithm; color map; color space transformation; data acquisition; genetic algorithms; intelligent algorithms; map automatic input; vectorization algorithm; Color; Colored noise; Data engineering; Data mining; Engineering drawings; Genetic engineering; Humans; Image segmentation; Neural networks; Noise reduction;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1999. ISCAS '99. Proceedings of the 1999 IEEE International Symposium on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-5471-0

Type

conf

DOI

10.1109/ISCAS.1999.780719

Filename

780719