DocumentCode
2135612
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
fYear
1993
fDate
1993
Firstpage
582
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1993., Second IEEE International Conference on
Conference_Location
San Francisco, CA
Print_ISBN
0-7803-0614-7
Type
conf
DOI
10.1109/FUZZY.1993.327423
Filename
327423
Link To Document