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In this paper, we present a new visual attention system which is able to detect objects in the images with non-uniform resolution. Since, one of the goals of the visual attention systems is simulating of human perception, and in human visual system the foveated images processed, therefore, visual attention systems should be able to identify the object to these images. We test the system by two types...
Camera parameters estimation is an important issue in machine vision. This study proposes a new method to find translation and rotation matrix of camera in a sport scene based on points at infinity. Vanishing point (point at infinity) of parallel lines is the image of the point at infinity, which corresponds to the projection of the intersection of parallel lines at infinity. According to projective...
Purpose To quantify distribution of conjunctival vessels in normal eyes and the changes induced by the irritation of photography.
Methods Digital slit lamp photography of the upper and lower conjunctiva of 728 healthy eyes was done in 4 groups with different orders of succession of the photography in each person. A radon transform based algorithm was used to segment vessels and compute area occupied...
In this paper, a new offline handwritten signature identification and verification system based on contourlet transform is proposed. Contourlet transform (CT) is used as feature extractor in proposed system. Signature image is enhanced by removing noise and then it is normalized by size. After preprocessing stage, by applying a special type of contourlet transform on signature image, related contourlet...
Nowadays, Posterior Capsule Opacification (PCO)is a common postoperative complication of cataract surgery. The rate of incidence and the intensity of PCO are affected by factors such as type and shape of implanted intraocular lens(IOL), cataract surgical techniques and etc. Clinical quantification of PCO is so subjective that evaluating the effects of these factors on PCO are varying among studies...
Camera calibration is one of the fundamental problems of machine vision. There have been lots of efforts for providing autonomous calibration algorithms. One of the major problems that put up barrier toward autonomy is feature detection and extraction. In this paper, the architecture of an autonomous camera calibration framework is studied. The autonomy of calibration framework originates in its hardware...
In this paper, we introduce an efficient content-based image retrieval system based on fuzzy relevance feedback. Conventional content based image retrieval (CBIR) systems that use relevance feedback (RF), want user to mark retrieved images as relevant or irrelevant, while this determination is difficult for images which are rich in semantic. As a result, this system integrates the log information...
Frying of potatoes causes some changes in their microstructures. By studying these changes we have presented quite suitable features for automatic analysis of microscopic images taken from fried potatoes, and have also introduced a new mechanism based on machine learning for automatic quality control of fried potatoes. Experimental results show that the presented structure may well be used for controlling...
In this paper, we introduce a combined relevance feedback approach for image retrieval using semantic similarity based on fuzzy transaction repository and feature re-weighting technique. This system accumulates user interactions using soft feedback model to construct fuzzy transaction repository (FTR). The repository remembers the userpsilas intent and therefore provides a better representation of...
In many application suck as face detection or recognition a major phase would be eye detection. In addition, its wide use as a part of serious applications, made it an important task should be worked on. Using color characteristics is a useful way to detect eyes. We use special color space, YCbCr which its components give us worthwhile information about eyes. We make two maps according to its components...
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