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Face detection has become a hot topic in the field of pattern recognition and computer vision. This paper proposed an improved spatial pattern clustering algorithm, each pixel in a color image will be taken as a pattern which implies not only its feature value but its spatial information. So, the clustering of all pixels of an image is converted to the clustering of the corresponding patterns. The...
In this paper, a new approach of segmenting cine coronary angiography is proposed. Rather than treating each frame of a video sequence individually and applying the segmentation on them separately, our approach tackles the segmentation of all the frames as a whole via incorporating the prior knowledge that the background components in all frames have much strong correlation mutually than vessels do,...
Image segmentation is one of the basic and key technologies in image understanding and interpretation. In order to overcome the effect caused by noise, blur and background objects in image segmentation, in this paper an interactive image segmentation method, which combined prior knowledge and geodesic active regions, was proposed. Firstly, the area of target of interest was regarded as one class,...
Artificial immune systems[1–2] are highly distributed systems based on the principles of the natural system. In this paper, handwritten Icelandic character recognition strategy using artificial immune system was proposed and carefully experimented. With 73 feature coefficients extracted from 24∗24 handwritten Russian uppercase character image using 36 sub-meshing coefficients, 24 traversing-times...
Artificial Immune System[1] is engineering system which has been inspired from the functioning of the biologic al immune system. In this paper, handwritten Armenian character recognition strategy using artificial immune system was proposed and carefully experimented. With 90 feature coefficients extracted from 24∗24 Armenian character image using DCT based on 8∗8 image sub-block as its feature vector,...
Stereoscopic video object segmentation plays an important role in stereo vision analysis and application. In this paper, we proposed the combination support vector machine (SVM) and mean shift clustering algorithm to achieve classification and segmentation of stereoscopic video. We firstly divided the left image of stereoscopic video into the two classes of target and background and perform training...
This paper proposes an automatic video object segmentation with opacity estimate to obtain good alpha mattes and the foreground objects. In the proposed method, the trimap is automatically generated from the result obtained using video object segmentation based on motion information without background construction. Next, closed-form matting is used with the automatically generated trimaps to yield...
Rock evaluation and return are important work of lunar exploration, they should be done by the lunar rover's hardware and software. A series of algorithms related to rock segmentation, stereo matching and 3D reconstruction which are realized by stereo vision are described in this paper. The experiments based on real image show the validity of the algorithms.
In this paper, we present a graph-based approach to automatically detect defective zebrafish embryos. Here, the zebrafish is segmented from the background using a texture descriptor and morphological operations. In this way, we can represent the embryo shape as a graph, for which we propose a vectorisation method to recover clique histogram vectors for classification. The clique histogram represents...
This paper proposes an effective method for video object segmentation without background construction. In the proposed method, the coarse foreground extraction and fine foreground extraction are obtained using the motion information, edge information, and gradient-variation information which are first evaluated by two successive frames. Next, the video object is extracted using the horizontal/vertical...
This study proposed a new object feature extraction method that employs the quadtree decomposition. In the proposed method, we segmented the image into variable sized blocks, named homogeneous blocks, which are the units of feature extraction process. Because the quadtree decomposition can highlight the details of images, more feature information can be extracted from the visual important objects...
A system for the recognition and checkout of legal amounts on Chinese bank cheques was presented in the paper. Firstly, pianpang recognizer was proposed to combine any pianpang into a neighbor segment. Then, the width model of characters was proposed to determine the predicted positions of split lines. Finally, an efficient state transfer model was proposed to conduct Subset-based recognition. Experiments...
This paper presents a new trademark image retrieval method based on the region orientation information entropy. In the first stage, image is rotated according to principal orientation, and the object region in the rotated image is extracted. Then, the object region is partitioned into a lot of sub-blocks. In the third stage, the information entropy of each partitioned region is computed, which construct...
In computer aided detection (CAD) of the pulmonary nodules, automated analysis of nodules within the complex background of anatomic structures is extremely challenging for clinicians. The identification of the lung structures is the initial stage in CAD for improving the detection sensitivity. This paper presents a novel automated lung segmentation method for nodule detection from CT images, using...
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