A method to separate diffuse and specular reflection components is presented. The method is based on color, particularly on surface color ratio and chromaticity. We define surface color ratio as an invariant to specularity, shading and shadow and use it to detect diffuse pixels. There are three principle steps in our method: diffuse pixels identification, image normalization and reflection comp...

We work on a Bayesian approach to the estimation of the specular component of a color image, based on the Dichromatic Reflection Model (DRM). The separation of diffuse and specular components is important for color image segmentation, to allow the segmentation algorithms to work on the best estimation of the reflectance of the scene. In this work we postulate a prior and likelihood energies tha...

Current computational models of motion processing in the primate motion pathway do not cope well with image sequences in which a moving pattern is superimposed upon a static texture. The use of nonlinear operations and the need for contrast normalization in motion models mean that the separation of the in£uences of moving and static patterns on the motion computation is not trivial. Therefore, ...

A method is proposed to process ECD brain SPECT images representing epileptic hot spots inside the brain. For validation 35 ictal interictal patient image data were processed. The images were registered by a normalized mutual information method, then the separation of the suspicious and normal brain areas were performed by two thresholdbased segmentations. Normalization between the images was p...

the aim of this critical appraisal and hazards of surface electromyography (semg) is to enhance the data acquisition quality in voluntary but complex movements, sport and exercise in particular. the methodological and technical registration strategies deal with telemetry and online data acquisition, the placement of the detection electrodes and the choice of the most adequate normalization mode...