Title :
Applications of coordinate logic filters in image analysis and pattern recognition
Author :
Mertzios, B.G. ; Tsirikolias, K.
Author_Institution :
Dept. of Electr. & Comput. Eng., Democritus Univ. of Thrace, Xanthi, Greece
Abstract :
The paper presents a number of image processing and pattern recognition applications using coordinate logic filters which execute coordinate logic operations among the pixels of the image. These filters are very efficient in various 1D, 2D or higher-dimensional digital signal processing applications, such as noise removal, magnification, opening, closing, skeletonization, coding, edge detection, feature extraction, and fractal modeling. The key issue in the coordinate logic analysis of images is the method of fast successive filtering and managing of the residues. The desired processing is achieved by executing only direct logic operations among the pixels of the given image. Coordinate logic filters can be easily and quickly implemented using logic circuits or cellular automata; this is their primary advantage
Keywords :
Boolean functions; cellular automata; edge detection; feature extraction; filtering theory; fractals; image coding; image thinning; interference suppression; logic circuits; pattern recognition; Boolean logic operations; cellular automata; coordinate logic filters; coordinate logic operations; digital signal processing applications; edge detection; fast successive filtering; feature extraction; fractal modeling; image analysis; image closing; image coding; image magnification; image opening; image processing; image skeletonization; logic circuits; noise removal; pattern recognition; residue managing; Digital filters; Digital signal processing; Feature extraction; Image analysis; Image coding; Image edge detection; Image processing; Logic circuits; Pattern recognition; Pixel;
Conference_Titel :
Image and Signal Processing and Analysis, 2001. ISPA 2001. Proceedings of the 2nd International Symposium on
Conference_Location :
Pula
Print_ISBN :
953-96769-4-0
DOI :
10.1109/ISPA.2001.938615