An adaptive multi-level algorithm for image bilinear generalized fuzzy enhancement
Jianhong Liu · Journal of Yanshan University · 2008
A new linear generalized fuzzy operator (LGFO) for fuzzy enhancement of contrast among successive region is con-structed based on the theory of normal fuzzy set (NFS) and generalized fuzzy set (GFS). An novel algorithm of adaptive multi-level image bilinear generalized fuzzy enhancement (GFE) is put forward. The principle of algorithm is to achieve space transform between gray image space and generalized fuzzy space by using linear generalized membership transform (LGMT) and its adverse transform. By the algorithm, the contrast among successive region for linear generalized fuzzy membership space is enhanced fuzzily using LGFO in the process of space transform. Finally, the contour of image after enhancement is extracted using MIN operator in gray image. The process of selection of multi-level threshold gray based on fuzzy entropy makes the algorithm adaptive and practicable. The experiments show that the algorithm is efficient and has no distortion, and can enhance multi-level image edges simul taneously. The extracted edge contour of enhanced image is accurate and structured.