Multi Resolution Fuzzy Segmentation of Satellite Images

multi resolution fuzzy segmentation of satellite images

multi resolution fuzzy segmentation of satellite images

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Optimization in multi-scale segmentation of high-resolution satellite images for artificial feature recognition

A Fuzzy-based Contrast Enhancement for High Resolution Satellite Images

Many conventional contrast enhancement techniques adopt a global approach to enhance the image. However, it is usually difficult to enhance all land cover classes appearing in the satellite image using these approaches, because local contrast information and details may be lost in the dark and bright areas. In this study, a three-stage algorithm based on fuzzy set theory is proposed to deal wit...

Multi-resolution Vessel Segmentation Using Normalized Cuts in Retinal Images

Retinal vessel segmentation is an essential step of the diagnoses of various eye diseases. In this paper, we propose an automatic, efficient and unsupervised method based on gradient matrix, the normalized cut criterion and tracking strategy. Making use of the gradient matrix of the Lucas-Kanade equation, which consists of only the first order derivatives, the proposed method can detect a candi...

Object-Oriented Method for Automatic Extraction of Road from High Resolution Satellite Images

As the information carried in a high spatial resolution image is not represented by single pixels but by meaningful image objects, which include the association of multiple pixels and their mutual relations, the object based method has become one of the most commonly used strategies for the processing of high resolution imagery. This processing comprises two fundamental and critical steps towar...