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The objective of this work is the detection of object classes. An improved method is used for object detection and segmentation in real-world multiple-object scenes. It has two stages. In the first stage this method develops a novel technique to extract class-discriminative boundary fragments and the texture features near the boundary, and then boosting is used to select discriminative boundary fragments...
Segmentation is an important step in fingerprint recognition ystem, in which the region of interest can be extracted. his paper presents a novel fingerprint image segmentation method aiming at dealing with low quality fingerprint images. Firstly the mean and variance of gray level in each divided block is used to differentiate the image coarsely. Then two new features intra-consistency and extra-consistency...
In this paper, we propose a methodology consists of several unsupervised clustering techniques to acquire a satisfactory segmentation of computed tomography (CT) brain images. The ultimate goal of segmentation is to obtain three segmented images, which are the abnormalities, cerebrospinal fluid (CSF) and brain matter respectively. The proposed approach contains of two phase-segmentation methods. In...
Based on the study of patterns used in many fast algorithms for the block-matching motion estimation (BMME), a new search pattern, LP (line search pattern), was introduced in this paper. LP is also a simplified square search pattern as TP(Triangle search Pattern). By combing LP with DP(diamond search pattern), a fast BMA (BMME Algorithm), DLS (diamond-line search), was also proposed in this paper...
Camera calibration is one of critical steps in computer vision, also an exhaustive process because substantial human computer interactions are frequently required to deal with the matching problem. In this paper, an automatic matching method of markers for camera calibration is presented based on the local architecture characteristics of a new planar circle pattern, which can be applied to a wide...
Mining knowledge from large databases has been the focus of many recent studies and applications. Mining association rules in medical images is an important part in domain-specific application image mining because there are several technical aspects which make this problem challenging. In this paper, we firstly propose ROI extraction and clustering algorithm with domain knowledge constraint, then...
In this paper, an improved method is proposed based on AntTree clustering algorithm to deal with MRI image. This algorithm uses a new tree-structure model to accelerate the calculation and combines greedy algorithm to update the cluster centre. Compared with K-means and FCM algorithms, the results in the experiment show that the improved AntTree clustering algorithm is a better method in image segmentation...
Edge location of sub-pixel accuracy is an important technology for image processing. A novel approach to edge location of sub-pixel accuracy is proposed in this paper, which uses a cubic Bezier curve model to fit edges occurred in a digital image and overcomes the drawbacks of the models of line and parabola when there is an inflection point on the edge. The Levenberg-Marquardt iterative method is...
In this paper, an algorithm to segment object from stereo video is presented. The algorithm combines the strong points of disparity map with frame difference. First, segment disparity maps to get the object segmentation template in different disparity lays. Then make frame difference extraction in the template regions to modify the object edge. After that the precise motion object has been gotten...
This paper proposes an image mosaic algorithm based on the similar curve of two images. The algorithm determines the matched positions of two images by finding out the feature points of two close images. This algorithm can automatically piece two images shot horizontally and looply together. At last, this proposed image mosaic algorithm is implemented using MATLAB. The experimental results show the...
Tracking moving objects in video sequences requires a robust technique. In this paper, a novel object tracking method is discussed. The color distributions histograms is integrated into particle filter, which is also considered the target??s shape as a necessary factor in target model. To compare the target model with the current hypotheses of the particle filter, the Bhattacharyya coefficient is...
Imaging detection can get the geometric shape and exterior features of target in very close distance, and supply the information for target recognition. But because of the large amount of the information and the real-time requirement, the image of target is always distorted and incomplete.To solve this probolem,the image proecessing and target identification method of laser imaging fuze are introduced...
The issue of target localization by means of texture analysis is addressed. First the texture feature extraction based on multi-channel Gabor filter decomposition and the rotation invariant representation of Gabor features are analyzed in the view of their ability of classification. After that, a method based on Gabor features and neural network classifier is proposed. The method is composed of two...
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