With the register detection problem, the color textile image segmentation algorithm based on MeanShift and the block matching algorithm based on Harris corner detection were proposed. The extended MeanShift algorithm was used to segment the textile image, and then different color regions were extracted from the segmented standard image; then the feature points were detected by Harris operator, ...

This article deals with a performance analysis of eight current architectures : general purpose multi-core processors, graphic processing units and the Cell processor. The benched algorithm is the Harris operator. The main goal is to guide the user in chosing a parallel architecture and to assess how different transformations impact so as to get an architecture optimised implementation.

The Gestalt law of continuity, or smoothness, is an important factor in guiding the edge grouping. In practice, however, the boundaries of many salient structures of interest may not be smooth everywhere and may contain some sharp corners. This paper presents a globally optimal edge-grouping method that can detect perceptually salient boundaries with sharp corners. In this method, a set of stra...

An image stitching is a method of combining multiple overlapping images of the same scene into a larger image without loss of information. Literature shows the use of various corner detection algorithms in image stitching. The most widely used are Harris corner detection method and SIFTS (Scale Invariant Feature Transform) method. In this paper, a comparative study is done forHarris corner dete...

Image retrieval has been popular for several years. This paper propose a generalized query method of content based image retrieval system (CBIR) by using the several features and technique [1] i.e. color, texture, shape and GLCM, and also content based image retrieval system based on the combination of local and global features. The local features used are Bi-directional Empirical Mode Decompos...

In this paper, we describe a generic methodology for evaluating the labeling performance of feature detectors. We describe a method for generating a test set and apply the methodology to the performance assessment of three well-known corner detectors: the Kitchen-Rosenfeld, Paler et al., and Harris-Stephens corner detectors. The labeling deficiencies of each of these detectors is related to the...

In this paper, a methodology for ROI extraction in INDT using multi-resolution analysis is proposed. Complementary, both local procedures Harris operator and gradient direction are used. The proposed methodology is tested using three CFRP specimens having complex shapes and defects at different depths. Besides, another two specimens are considered, which are made of PlexiglasTM and aluminum wit...

Aiming at the defects and shortages of traditional moving vehicles detection algorithms, by the analysis and comparison of the existing detection algorithms, we propose an algorithm that combined with frames with symmetric difference and background difference to detect moving vehicle in this paper. First, two different difference images by using frames with symmetric difference and background d...

Active contours are a form of curves that deform according to an energy minimizing function and are widely used in computer vision and image processing applications to extract features of interests from raw images acquired from an image capturing device. One of the major limitations in an active contour is its inability to converge accurately when the object of interest exhibits sharp corners. ...

we propose an accurate subpixel shift estimation method for the registration of noisy images. The proposed method uses a specific local region to perform phase correlation instead of the whole noisy image and applies an adaptive Wiener filter to a local region for suppressing noises. Firstly, a local region is selected in the vicinity of the feature points from Harris corner detection by analyz...