The scene partitioning problem is to delineate regions in an image that correspond to the same object according to some underlying object model. Examples include partitioning an intensity image into piecewise constant intensities or identifying separate planar regions in a disparity map. A general algorithm for solving the partitioning problem in cases of linear models is presented. The algorit...

This paper presents a novel method for parallelizing the seeded region growing (SRG) algorithm using Compute Unified Device Architecture (CUDA) technology, with intention to overcome the theoretical weakness of SRG algorithm of its computation time being directly proportional to the size of a segmented region. The segmentation performance of the proposed CUDA-based SRG is compared with SRG impl...

Recent ezperimental results [I] on human &ion show that low fractal dimension lines are highly capable to evocate namable objects. In other t e r n , regular lines are recognized by human vision as object edges. In this paper, a regularity measure of discrete lines geometry is presented. This quantitative measure based on a ratio between lines lengths at different scale is analyzed in the frame...

In the sight of difficulty in segmentation of armor plate surface defects, visual attention mechanism is applied to segment defects images of steel strip surface, the key step of visual attention mechanism-fusion method of saliency images is improved, thinking of the contribution of salient area size, number and distribution to the comprehensive salient image, gray level consistency and GLCM’s ...

Plant disease has been a major constraining factor in the production of cucumber,the traditional diagnostic methods usually take a long time, and the control period is often missed. We take computer image processing as a method, preprocessing the images of more than 100 sheets of collected samples of cucumber leaves, using the region growing method to extract scab area of leaves to get three fe...

This paper presents a speech/music discriminator for radio recordings, based on a new and computationally efficient region growing technique, that bears its origins in the field of image segmentation. The proposed scheme operates on a single feature, a variant of the spectral entropy, which is extracted from the audio recording by means of a short-term processing technique. The proposed method ...