We propose an algorithm for segmenting natural images based on texture and color information, which leverages the co-sparse analysis model for image segmentation. As a key ingredient of this method, we introduce a novel textural similarity measure, which builds upon the co-sparse representation of image patches. We propose a statistical MAP inference approach to merge textural similarity with i...

This paper pertains to the recognition of textural regions for color video analysis. The proposed scheme uses the covariance of 2-order statistics on the wavelet domain, between the different color channels of the video frames. These features, named as Color Wavelet Covariance (CWC), are used as color textural descriptors. A Support Vector Machine was chosen for the classification of the CWC fe...

with the growth of technology, supervising systems are increasingly replacing humans in military, transportation, medical, spatial, and other industries. among these systems are machine vision systems which are based on image processing and analysis. one of the important tasks of image processing is classification of images into desirable categories for the identification of objects or their sp...

A LapBox derivative, the Textural Crossfader is a keyboardbased embedded acoustic instrument, which sits comfortably across the performer s lap and radiates sound out of integrated stereo speakers. The performer controls the sound by manipulating the keys on a pair of mini-keyboard interfaces. A unique one-to-one mapping enables the performer to precisely crossfade among a set of looped audio w...

This study was performed to investigate the quality characteristics of noodles made from four different potato varieties: Atlantic, Go-un, Sae-bong, Jin-sun, and wheat flour. Quality characteristics of five noodles were analyzed by general components analysis, cooking quality (rate of water absorption, cooking loss, and volume increase), and mechanical textural properties. Some variations exist...

Analysis of medical images plays a very important role in clinical decisionmaking. For a long time it has required extensive involvement of a human expert. However, recent progress in data mining techniques, especially in machine learning, allows for creating decision models and support systems that help to automatize this task and provide clinicians with patient-specific therapeutic and diagno...

PURPOSE A computer-based image analysis system was developed for assessing the malignancy of urinary bladder carcinomas in a more objective manner. Tumours characterized in accordance with the WHO grading system were classified into low-risk (grades I and II) and high-risk (grades III and IV). MATERIALS AND METHODS Images from 92 haematoxylin-eosin stained sections of urinary bladder carcinom...