Title :
Image processing using the PCNN time matrix as a selective filter
Author_Institution :
DSP & Vision Lab., Chihuahua Inst. of Technol., Mexico
Abstract :
This paper describes a novel scheme for image processing based on the PCNN time matrix. The time matrix is a mapping from the spatial image information to time information generated by a PCNN. The time matrix contains useful information related to spatial information of the image that is under processing. Based on this matrix, image processing operations may be defined; image segmentation, edge detection, and selective filters. This paper slates this new image processing scheme based on the time matrix and illustrates the application of the scheme.
Keywords :
edge detection; filtering theory; image segmentation; matrix algebra; PCNN time matrix; edge detection; image processing; image segmentation; selective filter; spatial image information; time information; Artificial neural networks; Biological neural networks; Filters; Image edge detection; Image processing; Image segmentation; Joining processes; Neurons; Neuroscience; Signal processing;
Conference_Titel :
Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
Print_ISBN :
0-7803-7750-8
DOI :
10.1109/ICIP.2003.1247103