Edge Detection with Neuro-Fuzzy Approach in Digital Synthesis Images

Key words: Monocular fundus, CIE color space, connected component analysis, Computer-Aided Diagnosis (CAD), Gabor filter, automatic exudates, optic disk, lipids

In this paper fuzzy c-means clustering method is used for choosing the centroid based on the pixels and the detected edges using the novel edge detection

The variables selected from the data- set were those that are used for performing prostate cancer stage predictions by clinicians, and which are also required for undertaking

Fuzzy Rule Algorithm is used for rule generation from the perceived behavior of normal and abnormal clusters, and Neural Networks using Mat Lab for detecting abnormal packets

Keywords: Application of Information Technology to the Foundry Industry: Solidification Process: Numerical Tcchniqucs: Sensitivity Analysis; Borzndary Elcmcnt

A fuzzy model for wind speed prediction and power generation in wind parks using spatial correlation.. Missing wind data forecasting with adaptive neuro-fuzzy

The SUCIS method uses three different index images to label and classify image blocks in a VQ-coded image and distinguish them into homogeneous, edge, and texture

Abstract: As in ancient architecture of Greece and Rome there was an interconnection between picturesque and monumental forms of arts, in antique period in the architecture