background: mitral valve prolapse (mvp) is now recognized as the most common cardiovalvular abnormality (cva) in the usa, but there has been much less agreement about other aspects of its epidemiology, diagnosis and clinical features. cva analysis still relies mainly on the visual assessment of echocardiographic imaging and manual measurements by experienced cardiologists. so, automating or sem...

Corners in images represent a lot of important information. Extracting corners accurately is significant to image processing, which can reduce much of the calculations. In this paper, two widely used corner detection algorithms, SUSAN and Harris corner detection algorithms which are both based on intensity, were compared in stability, noise immunity and complexity quantificationally via stabili...

A novel interest point detector is presented in this paper. It uses a wedge model that characterizes corners by their orientation and angular width. The detector is compared to two popular corner detectors: Harris and SUSAN. It is also shown how widely separated views can be matched, by using the information provided by the detector to approximate local affine transformations between corners.

this paper, we examine the detection of man-made structures in Very High Resolution (VHR) satellite images. The first step of this detection consists of describing the objects' geometry through corners. Not only are corners an important cue for the presence of geometric primitives. They are also essential in forming higher-level shapes like rectangles and polygons through perceptual grouping te...

This paper proposes a detector for spatio-temporal interest points. Interest point detection is a common technique in computer vision to extract salient regions and represent them by a single point for further processing. But while many algorithms exist for static images, there is hardly any method to obtain interest points from image sequences for the representation of salient motion. Here we ...

The main concept behind the image mosaic is image registration. The image mosaic can be defined as the automatic alignment or registration of multiple images into larger aggregates with two simultaneous images having some similarities between them. Image registration is an important part of the image processing and computer vision. On the basis of analyzing two types of image registration, an a...

In this paper, a novel FPGA based video/image processing architecture is introduced that is designed to deal with advanced computer vision applications in ubiquitous systems. As basic components of this architecture, some low-level image feature extraction algorithms including the Sobel edge detector and SUSAN edge and corner detectors were designed and implemented using FPGA software tools. A ...

An approach for 3D surface reconstruction from two uncalibrated views is proposed in this paper. The SUSAN corner detector is used for corners from points in edges, which are detected by Sobel edge operator. After corners matching between two images, the fundamental matrix is estimated to acquire 3D structure from matched corners by an improved weighted linear algorithm, which is based on the e...

In this paper, we will introduce a new corner detector and compare its performance with other three popular corner detectors. The new detector assumes a welldefined corner of a gray level image should have a good corner structure that is similar with the ideal corner structure. Experiments have shown that the new corner detector is accurate and efficient. What’s more, the corner detector estima...

Harris corner detection algorithm called Harris corner detector is a very effective corner algorithm for gray-scale images. The corners extracted by Harris corner detector are stable, reliable, homogeneous and reasonable. However, it has own inevitable limitations. For the shape recognition of parts, an improved Harris corner detector is proposed in this paper. Based on the analysis of Harris c...