This paper studies the general steps and methods of the image matching technology. Using a set of optimized Harris corner detection algorithm, a similar measure extracting feature points by the maximum correlation coefficient to achieve accurate matching. Finally, the weighted smoothing is performed to realize the seamless splicing of the two images according to the bilinear interpolation of th...

Deformable active contours are widely used in computer vision and image processing applications for image segmentation, especially in biomedical image analysis. The active contour or “snake” deforms towards a target object by controlling the internal, image and constraint forces. However, if the contour initialized with a lesser number of control points, there is a high probability of surpassin...

: Many image features are proved to be good candidates for recognition. Among them are edges, lines, corners, junctions or interest points in general. Importance of corner detection in digital images is increasing with increasing work in computer vision in imagery. One of the most promising techniques is the one based on Harris corner detection method. This work describes different approaches t...

Edge detection is one of the most commonly used and one of the most important operations in image processing which reduces the useless information while retaining the important structural properties of an image. Here a comparative study of Sobel, Roberts, Prewitt, LoG, Canny, Zerocross algorithms are conducted and corner points using Harris Corner detection algorithm on the image are obtained a...

There are many applications such as stereo matching, motion tracking and image registration that require so called ‘corners’ to be detected across image sequences in a reliable manner. The Harris corner detector is widely used for this purpose. However, the response from the Harris operator, and other corner operators, varies considerably with image contrast. This makes the setting of threshold...

In order to solve the problem that the traditional Harris comer operator hasn’t the property of variable scales and is sensitive to noises, an improved three scale Harris corner detection algorithm was proposed. First, three scale spaces with the characteristic of scale invariance were constructed using discrete Gaussian convolution. Then, Harris scale invariant detector was used to extract com...

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.

Several types of interest point detectors have been proposed for spatial images. This paper investigates how this notion can be generalised to the detection of interesting events in space-time data. Moreover, we develop a mechanism for spatio-temporal scale selection and detect events at scales corresponding to their extent in both space and time. To detect spatio-temporal events, we build on t...