We propose a new method for combined color image segmentation and edge linking. The image is first segmented based on color information only. The segmentation map is modeled by a Gibbs random field, to ensure formation of spatially contiguous regions. Next, spatial edge locations are determined using the magnitude of the gradient of the 3-channel image vector field. Finally, regions in the segm...

For most tasks in image sequence analysis, the estimation of optical flow is the primary step towards the final solution. Block matching, which is adopted by many current coding standards, is the most popular method among other approaches. Research in this area mainly focuses on three aspects: matching criteria, searching criteria and the determination of block size. In this paper, we propose a...

This paper presents a novel method of retrieving images based on color-spatial information. For each image, its color-spatial information is compactly captured by a set of color signatures and an image signature. During the image retrieval process, the color and image signatures of the query image and those of the database images are compared to determine the set of candidate images to be retri...

Triangular shape object detection in color images is an important issue in computer vision. However, there are few reports on this matter. In this paper, we proposed a novel approach, which combines a global contour based line segment detection algorithm and Markov Random Field (MRF) Model, to extract triangular objects from color images. First, we use an elaborate edge detection algorithm to o...

Edge detection is the most important task in image processing. It detects the presence and location of edges from an image having sharp changes in brightness or color intensity of an image. There are various techniques present for edge detection but the newer technique, Ant Colony Optimization is introduced here. Primarily ACO is used to detect edges of ray scale image but here an attempt is ma...

We analyze the runtime using charging. In the computation tree shown above, we count the number times each element appears. The sum over all elements is equal to the sum of the sizes of all the sets in the computation tree, which is proportional to the runtime. Claim 1. The number of times an element appears in sets in the computation tree is O(logn) in expectation. Each set S in the computatio...

Rectangular shape object detection in color images is a critical step of many image recognition systems. However, there are few reports on this matter. In this paper, we proposed a hierarchical approach, which combines a global contour-based line segment detection algorithm and an Markov random field (MRF) model, to extract rectangular shape objects from real color images. Firstly, we use an el...

Edge detection is the name for a set of mathematical methods which target at classifying points in a image at which the image intensity varies sharply or, has discontinuities. This paper has focused on detecting the edges for the Hue factor in Human visual system (HSV). Hue is usually represented by position significance, so the existing edge detection techniques has been incapable to correctly...

Electromagnetic production of J/ψ at ee colliders is investigated. It is expected to be as a further test of charmonium production of QED nature. We find that at the energies of CESR, BEPC, and TRISTAN (e.g. 4.0GeV ≤ √s ≤ 60GeV ), the contributions of the concerned electromagnetic processes to the J/ψ inclusive production are great, even dominant, thus they greatly effect the observation on the...