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It is proposed that an efficient and fast image compression scheme based on all level curvelet coefficients with SPIHT (Set Partitioning in Hierarchical Trees). For images with textures, the high frequency wavelet coefficients are likely to become significant after several code passes of SPIHT, which degrades the coding performance. The basic flaw that wavelet transform exhibits, is its inability...
In this paper, we propose a content-based image retrieval system based on an efficient combination of both color and texture features. According to HSV (Hue, Saturation, and Value) color space, we quantified the color space into non-equal intervals, and then construct a one dimensional feature vector and represented the color feature. Similarly, the work of texture feature extraction is obtained by...
Crowd density analysis is crucial for crowd monitoring and management. This paper proposes a novel method for crowd density analysis. According to the framework, input images are firstly divided into patches, and each patch is associated with a density label based on its texture features. Finally, local information is synthesized for global density estimation. Local image content is described by features...
Texture segmentation by Pseudo Jacobi -Fourier moments is presented in this paper. Given a window size, moments for each pixel in the image are computed within small local windows, and then texture feature images be obtained by using a nonlinear transducer. Finally, each pixel in the image is classified by K-mean clustering algorithm.
It has been shown that the probability to develop breast cancer is strongly correlated with the appearance of tissue in mammographic images. This appearance incorporates both greylevel and tissue pattern aspects and models of local texture information, which incorporate both greylevel and spatial aspects, can as such be related to mammographic risk assessment. Here we represent texture by the variation...
This paper deals with the recognition of handwritten Malayalam characters. Most of the pattern recognition systems will go through the steps like preprocessing, feature extraction and classification. Here, we have presented edge detection in the preprocessing stage. It is important that the edge detector should give the character edges without fragmentation and displacement of edge pixels. Canny edge...
The extraction of disparity data by means of stereo matching has well known issues in regions of low texture. This paper proposes a method which employs texture classification metrics in order to make predictions on the quality of the stereo matching output. Such predictions can then be used to alter the way the disparity data is used in further processing, or to even cancel processing of a pixel...
In 1973, Haralick, Shanmugam, and Dinstein published a paper in the IEEE Transactions on Systems, Man, and Cybernetics which proposed using Gray-Level Co-occurrence Matrices (GLCM) as a basis to define 2-D texture. Over 14 different texture measures were defined using GLCM. In images with n × n grey levels, the size of the GLCM would be n × n which, for large n such as n=256, put a large computational...
In this paper we propose an intelligent technique of texture reconstruction in videos which may be also applied in images with some constraints. Traditional approach includes text finding and removal, and texture reconstruction without detailed texture analysis. The novel method extends texture analysis not only in spatial domain, but also in temporal domain of video imagery. This intelligent technique...
Palmprint identification is a subcategory of biometrics identification, which can be efficiently used to identify the people. Palmprint-based identification is currently a potential alternative to human identification method of a well known fingerprint-based identification. For example, if the hand of the identified person is dirty, the accuracy of fingerprint-based identification is distorted, while...
A method of estimating dual primitives in a textural image is proposed. This method is based on the Primitive, Grain, and Point Configuration (PGPC) texture model, which regards a texture as an arrangement of grains derived from one or a few primitives. Appropriate primitives can be represented by morphological structuring elements estimated from a texture. Conventional primitive estimation methods...
This paper describes an integrated approach for segmenting foreground, namely a moving object, from a stationary background using image intensities and textural information. The proposed technique is based on the accumulative difference image (ADI) technique. Textural information is utilized with the unit gradient vectors (UGVs) of an image. Experimental results show that the UGV-based ADI technique...
Super-resolution is very important in recognizing suspects face in video surveillance system. In this paper, we present an improvement of image super-resolution based on sparse signal representation. The issue of how to deal efficiently with sparse feature has great significance on the quality improvement of generated high resolution image. We propose to use Elastic net to solve sparse representation...
Particle Swarm Optimization (PSO) modified to solve image processing problem with reference to enhancement technique is proposed in this paper. The enhancement process is an optimization problem with several constraints. The objective of the proposed PSO is to maximize an objective fitness criterion in order to improve the contrast and detail in an image by adapting the parameters of a novel extension...
To segment magnetic resonance image series is an interdisciplinary topic that involves both medical and computer science. It is one of the most important steps for medical diagnosis and quantitative analysis. This paper proposes an automatic segmentation method based on support vector machine (SVM). Feature vectors are generated according to both grayscale value and texture pattern of MR brain images...
We present preliminary results of an algorithm for detecting obstacle-free regions in indoor environments using both color and texture information for visual robot navigation. By modeling color information in the L*u*v* color space, a color-based segmentation is performed to find similar regions. This segmentation yields a set of regions that are joined together into single areas using texture information...
To recover texture images from impulse noise by the opening operator which is one of morphological operations, a suitable structuring element (SE) has to be estimated. In this paper, we apply a Genetic Algorithm (GA) to an unsupervised design problem of SEs. In previous work, it was shown that deterministic Multi-step Crossover Fusion (dMSXF) which is a promising interpolation-directed crossover method...
Depth Image Based Rendering (DIBR) technique has been recognized as a promising tool for supporting advanced 3D video services required in MultiView Video (MVV) systems. However, an inherent problem with DIBR is to fill newly exposed areas (holes) caused by disocclusions. This paper addresses the disocclusion problem. To deal with small disocclusions, hole-filling strategies have been designed by...
In this paper we propose a new approach for disocclusion removal in depth image-based rendering (DIBR) for 3D-TV. The new approach, Hierarchical Hole-Filling (HHF), eliminates the need for any preprocessing of the depth map. HHF uses a pyramid like approach to estimate the hole pixels from lower resolution estimates of the 3D wrapped image. The lower resolution estimates involves a pseudo zero canceling...
Object tracking based on color feature often fails in a complex background. To deal with this problem, a particle filtering object tracking approach is proposed in this paper based on local binary pattern and color feature. Color histogram is the global description of targets in color image, while local binary pattern texture contains information of neighbor region texture in gray image. These two...
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