Title :
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
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;
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
DOI :
10.1109/ISCAS.1999.780719
