In this thesis, the fuzzy morphology is described to apply with a low-level image processing. The morphology is a satisfaction when are employed to operate with a binary image. In our scheme, the fuzzy set is combines with morphology to operate on the gray scale images. From experiment results, the fuzzy morphology can be operate both binary and gray-scale, such as, removed noise, contrast, and edge detection etc., which proposed method have a good results.
By
Chaidan Sutthanetara
Aphichoke Tienwilairatana
Aphichat Prohmtudsana
