This paper is devoted to a segmentation method using advanced morphological filtering by reconstruction followed by clustering by k-means algorithm. Advanced morphological filtering bases on morphological reconstruction and two filters are applied: opening by reconstruction and closing by reconstruction. This kind of operation has very important advantage from the point of view of segmentation ...

This paper highlights some fast algorithms for image filtering, specifically – box and Gaussian smoothing, Hann filtering, median filtering, and morphological operations. It is shown that some of these algorithms can be implemented with computational cost independent of a filter radius.

Evaluation have been done to different enhancement techniques applied to ultrasound kidney images to see which enhancement techniques is the most suitable techniques that can be applied to the kidney images before segmenting the edge of the kidney. Five common enhancement techniques have been used including the spatial domain filtering, frequency domain filtering, histogram processing, morpholo...

This paper deals with impulse noise removal from color images. The proposed noise removal algorithm employs a novel approach with morphological filtering for color image denoising; that is, detection of corrupted pixels and removal of the detected noise by means of morphological filtering. With the help of computer simulation we show that the proposed algorithm can effectively remove impulse no...

The problems of n-gram models for the OCR and speech recognition for the Slavic languages are investigated. The paper proposes methods applicable for most Slavic languages. Two approaches are tested: filtering of the n-gram model and the alternative ways of carrying out the smoothing. The filtering relies on heuristics based on frequencies and morphological features of words. The smoothing uses...