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In this paper, a new method is proposed to provide a reliable and accurate algorithm to search and precisely find the center of a reference image in a set of video frames. By implementing algorithms such as SIFT and PCA-SIFT, some matched points are obtained. Some of these points are accurate, some of them are not strictly accurate and others are incorrect. As a result, registration process may be...
Nowadays, hardware implementation of image and video processing algorithms is highly attractive. Needing to realtime processing makes hardware implementation of these algorithms inevitable. In most of image and video processing algorithms, pre-processing filters are the first and most important stage of the algorithm. In this paper, we propose new hardware architectures for the implementation of image...
Skeleton is one of the most important features in image processing. In many applications such as matching, animation, tracking and so on, finding main features are important; so, obtaining target skeleton can extract suitable target features. In this paper we try to introduce a fast and accurate algorithm to achieve main skeleton of each objects. Therefore, we suggest an appropriate approach for pulling...
In this paper, a new approach for text detection and localization is proposed. For this purpose, we first localize text location and then determine characters' pixels. The proposed text detection approach is a two-stage algorithm that in first stage, we apply low pass filter on image in FFT domain to remove noisy element and then we apply Laplacian operator to the resultant image to highlight high...
In this paper, a new method for heart vessel extraction based on heart area segmentation in angiogram image sequences is presented. One of the difficulties in vessel extraction in angiogram images is the detection of ribs and spins as vessels. Therefore, to cope with this problem, we utilize motion information to segment heart area. Then a two-stage vessel extraction algorithm is utilized to extract...
In this paper, a novel approach is proposed for secondary feature extraction based on clusters tracking in spectro-temporal domain. Because of high dimensionality of the spectro-temporal features space, this domain is unsuitable for practical speech recognition systems. In order to reduce the dimensions of the feature space, weighted K-means (WKM) clustering technique is applied to spectro-temporal...
in this paper, we propose a new algorithm for subtitle text detection, extraction and text inpainting in color images. The proposed algorithm includes three stages. In the first stage, we localize text blocks to extract subtitles. We then extract the text characters precisely and in the third stage, we use an inpainting algorithm to recover the original texture of the image. To localize text blocks,...
In this paper a new method for the reconstruction of 3D face model is proposed. The method starts with corner extraction and matching using KLT (Kanade-Lucas-Tomasi) approach. Then we apply special algorithm to find and refine erroneous matches. The proposed refining algorithm is a two stage algorithm. In the first stage, we find incorrect matches by sorting displacement vectors. The second stage...
This paper presents a new transform domain to evaluate the goodness of fit of natural image data to the common Benford's Law. The evaluation is made by three statistical fitness criteria including Pearson's chi-square test statistic, normalized cross correlation and a distance measure based on symmetrized Kullback-Leibler divergence. It is shown that the serial combination of variance filtering and...
In this paper, a new method for automatic ship detection using Local Gabor Binary Pattern Histogram Sequence (LGBPHS) is presented. In this approach, a ship image is modeled as a “histogram sequence” by concatenating the histograms of all the local regions of different local Gabor magnitude binary pattern maps. To detect ship targets, the input image is divided to overlapping blocks and based on the...
The blood vessels of retinal image have a unique pattern, from eye to eye and person to person. We have used this trait for designed a new person identification system. This approach focused on blood vessels around the optical disc instead of extracting total retinal blood to optimize the computational cost. At first, optical disc is localized using template matching technique and uses it to rotate...
Air trapping is an abnormal retention of air that occurs after expiration state in the lungs, observed in all types of bronchiolar and obstructive lung diseases such as chronic obstructive pulmonary disease (COPD), asthma, and bronchiolitis obliterans syndrome. Air trapping is often incidentally diagnosed on computed tomography (CT) scanning but this method needs doctors so it is subjective and depends...
Accurate spleen segmentation in abdominal MRI images is one of the most important steps for computer aided spleen pathology diagnosis. The first and essential step for the diagnosis is the automatic spleen segmentation that is still an open problem. In this paper, we have proposed a new automatic algorithm for spleen area extraction in abdominal MRI images. The algorithm is fully automatic and contains...
Script recognition is a necessary process before OCR algorithm in multilingual systems. In this paper, a novel method is proposed for identifying Farsi and Latin scripts in bilingual document using curvature scale space features. The proposed features are rotation and scale invariant and can be used to identify scripts with different fonts. We assumed that the bilingual scripts may have Farsi and...
Lip contour extraction is very important issue in visual speech recognition systems (lip reading). To extract the lip contour, proper segmentation is needed. There are many approaches for image segmentation such as colour segmentation (histogram-based and clustering-based) that have been widely used in different areas. In this paper we use RGB colour space and fuzzy C-means clustering for lip segmentation...
In this paper, we introduce a new contour based tracking method using active contour. Original greedy snake as a parametric active contour has weak performance in tracking target with high velocity and large displacement between two successive frames. This is due to concave parts of target boundary, shrinkage of contour if it is far from target boundary and the lack of target motion information. To...
In many of vessel segmentation methods, Hessian based vessel enhancement filter as an efficient step is employed. In this paper, for segmentation of vessels, HBVF method is the first step of the algorithm. Afterward, to remove non-vessels from image, a high level threshold is applied to the filtered image. Since, as a result of threshold some of weak vessels are removed, recovering of vessels using...
In this paper we present a novel method for tracking rigid objects (mostly vehicles) in video sequences with cluttered background, obtained from a mobile camera. We estimate the motion model of the target using corners extraction and matching together with LMedS statistical approach. The resultant model assists an active contour (snake) to track the target efficiently. To avoid tracking errors resulting...
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