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In this paper, a method for tracking (identifying) the fighter F117 is introduced. Because of its individual design and also the material that is used to build the fighter body, it cannot be identified and tracked with the conventional radars. In this work, an operational method based on image processing and by using LabView software is presented. By extraction the special geometrical properties of...
Generalized Lifting (GL) has been studied for lossy image compression in. It has been demonstrated that the method leads to a significant reduction of the wavelet coefficients energy and entropy. The definition of the GL relies on an estimation of the pdf of the pixel to encode conditioned to a surrounding context. The objective of this paper is to present an improved method for the estimation of...
A new model of decomposing an image hierarchically into direction-adaptive subbands using pixel-wise direction estimation is presented. For each decomposing operation, an input image is divided into two parts: a base image subsampled from the input image and subband components. The subband components consist of residuals of estimating the pixels skipped through the subsampling, which ensures the invertibility...
Statistical texture features extraction algorithms can be classified into first, second, and higher order. The difference between these classes is that the first-order statistics estimate properties of individual image pixel values, while in the second and higher order statistics estimate properties of two or more image pixel values occurring at specific locations relative to each other. The most...
Fast and accurate foreground detection in video sequences is the first step in many computer vision applications. In this paper, we propose a new method for background modeling that operates in color and gray spaces and that manages the entropy information to obtain the pixel state card. Our method is recursive and does not require a training period to handle various problems when classify pixels...
Medical images contain human body pictures and used widely in diagnosis and surgical purposes. Compression is needed for medical images for some applications such as profiling patient's data or transmission systems Due to the importance of the information of medical images, lossless or visually lossless compression preferred. Lossless compression mainly consists of transformation and encoding steps...
In this paper, an extension of ScaScra [1] is proposed to scal-ably scramble an image in the diagonal direction for achieving distorted scanline-like effect. The non-overlapping diagonal blocks are first defined and the unified constructive permutation function is applied to scramble pixels in each diagonal block. Scalability in scrambling is achieved by varying the block size. Experiments were carried...
Mutual information (MI) has proved to be a quite reliable tool to measure the similarity between two images when they are evolving through a registration algorithm. In this paper we present an improved registration algorithm based on MI similarity measure, incorporating Genetic Algorithm (GA) capability of optimizing a multi-parameter optimization problem. For this to happen we made some modification...
In this paper, a new method for extracting edges in images is proposed. The local pixel values are normalized to make their sum become unity. Then, a nonlinear filtering process is applied to the normalized pixel values by using the sine or cosine function. Two new edge detection operators, which exploit the local convexity of the sine and cosine functions, are thus defined. The edges are detected...
Scene-context plays an important role in scene analysis and object recognition. Among various sources of scene-context, we focus on scene-context scale, which means the effective region size of local context to classify an image pixel in a scene. This paper presents semantic segmentation and object recognition using scene-context scale. The scene-context scale can be estimated by the entropy of the...
This paper presents a new image segmentation approach by suing automatic threshold selection. This approach divides the image into 2 class. The best threshold is got when the separation between the interclass variance and the variance between clasters is the maximal. Experimental results show this new approach can segment images automatically and quickly.
The underwater robots called Unmanned Underwater Vehicles (UUVs) take over complex and dangerous underwater missions that were previously performed by humans. These vehicles operate in the unknown environments and make their own decisions within the mission based on the readings of the sensors, without any link with a human operator. Independent of the mission, it is critical for the AUVs to be able...
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...
This paper proposes a novel image fusion method that uses continuous Genetic Algorithm (CGA). Image fusion provides a single output image from a set of input images, captured from different viewing conditions, by different sensors, and at different times. Image fusion can be divided into three processing levels: pixel, feature and decision. Genetic algorithms are a nonlinear optimization technique...
In this paper a lossless compression scheme is presented. In this scheme we have compared our newly proposed model with lossless predictive code (LPC) and differential pulse code modulation (DPCM) and we have shown how our model is more advantageous than LPC and DPCM. This newly proposed scheme for Huffman coding will achieve higher compression as we have reduced the mean value of the pixel in the...
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...
Distributed video coding (DVC) is an interesting research topic for emerging application scenarios requiring low complexity video encoding. The central Slepian-Wolf (SW) coding, in a DVC system, exploits the cross correlation between the side information and the original frame. But, it does not exploit the source entropy of the input symbols, which is exploited by entropy coding in conventional video...
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 new pre-processing method through a newly proposed image transform scheme is presented in this paper. It enhances the efficiency of entropy encoders in the compression of images. Before an entropy encoder encodes a stream of pixel values in an image, the proposed method adaptively performs the new image transform under various transform patterns and then selects the transformed image with the least...
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