Title :
Algorithms for color image edge enhancement using potential functions
Author :
Sindoukas, D. ; Laskaris, N. ; Fotopoulos, S.
Author_Institution :
Dept. of Phys., Patras Univ., Greece
Abstract :
This letter deals with the color image edge enhancement issue using clustering ideas and based on the use of potential functions (Parzen windows). Two algorithms are proposed. The first uses potential functions (PF´s) and selects the output as the vector maximizing the PF. The second one elaborates further by employing the mountain clustering method and modifying it appropriately. Both algorithms are robust in the presence of noise, Gaussian and impulsive.
Keywords :
Gaussian distribution; Gaussian noise; edge detection; filtering theory; functions; image colour analysis; image enhancement; Gaussian noise; Parzen windows; color image edge enhancement; impulsive noise; mountain clustering method; potential functions; Aggregates; Clustering algorithms; Clustering methods; Filtering; Gaussian noise; Gray-scale; Image analysis; Image color analysis; Machine vision; Noise robustness;
Journal_Title :
Signal Processing Letters, IEEE
