Title :
Fuzzy techniques for image enhancement and reconstruction
Author :
AlShaykh, O.K. ; Ramaswamy, Srikrishna ; Hung, Hsien-Sen
Author_Institution :
Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
Abstract :
A fuzzy-based enhancement algorithm that considers multiple-object images is presented. This algorithm is based on crisping the boundaries of the objects by minimizing their compactness. This concept is incorporated in an iterative reconstruction-reprojection algorithm which achieves a compromise between the boundary crispness of the reconstructed image and the fidelity of the available projections in incomplete angular coverage situations. Simulation results are provided to demonstrate the effectiveness of the algorithm
Keywords :
fuzzy set theory; image processing; iterative methods; boundary crispness; fuzzy methods; image enhancement; image reconstruction; incomplete angular coverage; iterative reconstruction-reprojection algorithm; multiple-object images; Fuzzy set theory; Fuzzy sets; Geometry; Image edge detection; Image enhancement; Image processing; Image reconstruction; Iterative algorithms; Machine vision; Pixel;
Conference_Titel :
Fuzzy Systems, 1993., Second IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0614-7
DOI :
10.1109/FUZZY.1993.327423
