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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.
A new iris recognition system based on Wavelet Packet Analysis is described. The most unique phenotypic feature visible in a person's face is the detailed texture of each eye's iris. The visible texture of a person's iris is encoded into a compact sequence of 2-D wavelet packet coefficients, which generate an "iris code". Two different iris codes are compared using exclusively OR comparisons...
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...
To improve the retrieval rate of contourlet transform texture image retrieval system, a new texture image retrieval system was proposed. In the system, contourlet-S, which was a combination of non-subsampled Laplacian Pyramid and critical subsampled directional filter banks, was used to extract directional information of different scales. Generalized Gaussian Density (GGD) model parameters were cascaded...
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...
Most pornographic image recognition researches focus on detection accuracy. However, as the highly increasing of web data, detection speed becomes a new consideration. In this paper, the new issue is discussed from the following two aspects: 1) feature extraction in compressed domain and 2) classifier design, and then a simple, novel and yet effective pornographic image recognition method in compressed...
The mining of images from several categories is a problem arisen naturally under a wide range of circumstances. Image mining concerns with extraction of image data relationships, or other patterns of images which are not explicitly stored in the images. And Image classification is a large and growing field within image processing. Image Classification is useful in CBIR (Content Based Image Retrieval)...
Based on the binary image, the thesis proposes a suit of algorithm for the license plate intelligent recognition system serving the expressway toll collection system. Firstly, the algorithm of first difference combined with the method of determining the threshold of binarization via accumulating pixel spots is used in pre-processing. Secondly, taking advantage of the horizontal texture characteristic...
Quality control is one of the important issues in the flexible printed circuit board (FPC) making industry. This paper propose a unsupervised defect detection approach based on wavelet packet fame for solving the problem of automatic inspection of Flexible Printed Circuit boards (FPC) gold surfaces. Detection of defects within the inspected texture of FPC gold surfaces is performed first by decomposing...
Ground Penetrating Radar (GPR) is widely used in the probe of subsurface targets, in which the Time-Frequency Representation (TFR) approaches have been proved effective for GPR signatures. Since we can treat TFR results as 2-D images, texture analysis is an applicable way for image discrimination. In this study, we propose a target detection method based on TFR textures of GPR A-scans and then select...
Scene object recognition facilitates a large number of applications, ranging from indoor and outdoor, natural and man-made object recognition applications. In this paper, we propose a method for recognizing outdoor scene objects by using local features and contextual features. Local features consist of color, texture features extracted from objects in image then select which features best represent...
In the last decade significant progress in computer vision based control of unmanned ground vehicles (UGV) has been achieved. However, until now textural information has been somewhat less effective than color or laser range information. In this paper we propose a computer vision based cross country segmentation system that is capable of distinguishing cross-country road, grass and trees during day-time...
Watermarking algorithm based on wavelet transform is a main field in digital watermarking study. With watermarking property, the paper investigates the distributed feature of the wavelet coefficient and analyzes the effect of typical attacks to the wavelet coefficient. Through the experiment of different texture and gray images, the paper analyzes the relation between embedding intensity and watermarking...
We present a new method for adding furry effects for cartoon characters in images and videos. We synthesize furry stylized textures based on 3D texel structure. Given an image or a video as input, realistic fur texels are generated and mapped onto the region of interest(ROI) which is obtained using the Snake method. The 3D texels are rendered using ray marching algorithm on GPU for fast synthesizing...
This research aims at developing an optimal neural network based DSS, which is aimed at precise and reliable diagnosis of chronic active hepatitis (CAH) and cirrhosis (CRH). The principal component analysis neural network is designed scrupulously for classification of these diseases. The neural network is trained by eight quantified texture features, which were extracted from five different region...
The growing usage of mobile camera phones has led to proliferation of many mobile applications. Landmark recognition is one of the mobile applications that are gaining more attention in recent years. The main idea of the application is that a user will use a camera phone to capture the image of a landmark or building and then the system will analyze, identify, and inform the user the name of the captured...
We propose a new ultrasonic image analysis system that can be utilized as an effective tool in classifying liver states as normal, hepatitis, or liver cirrhosis. In this system, we first define suitable settings for the ultrasonic device, then remove the inhomogeneous structures from the area of interest in the image, and then, by using the forward sequential search method, look for the useful texture...
In this paper, we propose a simple and efficient approach to localizing the barcode regions in an image. We first apply the multichannel Gabor filtering technique to extract eight directional texture features. We then apply a randomized hierarchical search strategy to quickly find a sufficient number of pairs of line segments, which have high frequency and high similarity measures. We finally employ...
In this study the value of magnetic resonance image (MRI) shape and texture analysis was assessed in multiple sclerosis (MS) subjects, both in differentiating between normal or normal appearing and abnormal tissue and in assessing disease onset. Shape and texture analysis was carried out in normal brain white matter and lesions detected in transverse sections of T2-weighted magnetic resonance (MR)...
In this study we present an integrated system for supporting the diagnosis of endometrial cancer. The system consists of an electronic patient record that incoporates a hysteroscopy imaging CAD system for the early detection of endometrial cancer. The electronic patient record is based on information collected from: appointments, patient info, hysteroscopy reporting and pharmacy. The CAD system is...
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