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Statistical background subtraction has proved to be a robust and effective approach for segmenting and extracting objects without any prior information of the foreground objects. This paper presents two contributions on this topic. The first contribution of this paper proposes a novel approach which introduces the motion mask into the Gaussian Mixture Models to reduce the errors of classical GMMs,...
An innovative image processing algorithm as Drowsy driver detection methods can form the basis of a system to potentially reduce accidents related to drowsy driving. an image processing algorithms along with non-intrusive approach. In this method Region of Interest (ROI) is going to be an eye, whose statistical property (average blob area) is considered. The fatigue is detected based on the statistical...
For removing salt and pepper noise from corrupted images we are using so many algorithms. In this paper, a robust statistical based median filter is introduced to remove salt and pepper noise. The function of the algorithm is to detect the corrupted pixel first since the impulse noise only affect certain pixels in the image and the remaining pixels are uncorrupted. The corrupted pixels are replaced...
Due to the unlimited growth of Internet and communication technologies, the extensive use of images in diverse areas such as medical, military, science, engineering, art, entertainment, advertising, education has become unavoidable. With the increasing use of digital techniques for transmitting and storing images, the fundamental issue of protecting the confidentiality, integrity as well as the authenticity...
This paper deals with the development of a new texture analysis method based on both spatial and spectral information for texture classification purposes. The idea of Generalized Gray Level Difference Method (GGLDM) is to extend the concept of spatial Gray Level Difference Method(GLDM) by assuming texture joint information between spectral bands. In addition, new texture features measurement related...
Feature matching plays an important role in many applications, including 3D reconstruction, object recognition and video understanding. Point matching has made great progress recently, while it has made little progress in the fields of line and curve matching. By computing statistics of point descriptors constructed at each edge points, this paper develops a novel method for extending point descriptors...
In this paper we investigate and compare three aesthetic measures within the context of evolutionary art. We evolve visual art with an unsupervised evolutionary art system using genetic programming and an aesthetic measure as the fitness function. We perform multiple experiments with different aesthetic measures and examine their influence on the evolved images. Additionally, we perform a cross-evaluation...
The edge detection process can be broken down into four basic transformations, modifying the image from the original presentation to the final edges one. The adoption of this framework makes the process far more understandable, and offers an starting point for the combination and comparison of different edge detection methods. In this work we analyze the role of the third of the transformations, the...
This article proposes a method to identify fractures in human X-ray photos. According to the characteristics of X-ray image, the high-order statistical moments adopted to verify segmentation have been combined with partial threshold method to segment bone image. After the segmentation, mathematical morphology will be applied to extract the target border and cover the boundary of fractures. By superposing...
In order to get high-resolution multispectral images, multispectral and panchromatic images are fused. The high frequency parts are fused by a fuzzy rule, low frequency parts fusion is performed by means of a weighted average. Experiments indicates that the fusion algorithm can obtain better results.
In Precision Agriculture, remote sensors such as imaging systems are commonly used to manage site-specific weeds. Although there are several algorithms using spatial information, few tests proving their efficiency have been performed on relevant database. In this paper we propose an innovative approach based on a simple model that simulates virtual crops to evaluate the robustness and efficiency of...
Many 3D formats exist and will co-exist for a long time since there is no 3D standard that defines a generally accepted 3D format. The support for multiple 3D formats will be important for bringing 3D into home. In this paper, we propose a fast and effective method to detect whether an image is a 2D image or a 3D image encoded with a pair of stereo images, and to further identify the exact 3D format...
With the development of computer aided design technique,3D reconstruction from 2D input has been widely used in the research of computer vision. Plentiful works have been done in three orthographic views, in this paper a new method is introduced under single 2D input. The system in this paper aims at the reconstruction of useful objects in computer design. Angle histogram and corner detector are used...
For the robot vision system in apple harvesting robot, a new image segmentation method based on entropy clustering is proposed in HSI color space. Firstly, noise was wiped off by using weighted algorithm of median filtering in HSI color space instead of traditional algorithm in RGB model; secondly, Hue and Saturation components were extracted to do entropy clustering with their independence with Intensity,...
Motivated by the fact that a class has its own optimal feature vector discriminating itself from the other classes, we propose a new feature extraction algorithm for face recognition. In the scheme of the proposed class-dependent LDA (CDLDA), the evaluation criterion discriminating the samples of one class from those of the other classes is proposed. Different linear transformation spaces are constructed...
Fuzzy clustering algorithms have been successfully applied to POLSAR classification, but not to POLInSAR. In this paper, a Fuzzy C Means (FCM) clustering algorithm integrating the complementary physical information and statistical property contained in both polarimetric and interferometric data, is used for POLInSAR classification. At first, the area dominated by volume scattering is extracted from...
This paper presents an improved LSB matching steganography, which complementarily modifies the pairs of pixels with adjacent intensity to embed secrete message. In LSB matching steganography, when adding or subtracting one from the cover image pixel, two adjacent bins of the histogram will be altered-the bin value of the modified pixel's intensity increased by one, and one of its adjacent bin's value...
The goal of this work is the generation of an X-Band backscatter map by assembling images acquired by the TerraSAR-X mission. Global backscatter data is required for accurate performance estimation and instrument commanding inside the TerraSAR-X and TanDEM-X missions. Moreover, many scientific applications can be based on the analysis of backscatter behavior and evolution. The complete ground coverage...
This paper is about evaluating the interest between studying directs dual images statistical indices and the use of statistical indices build from two SAR multipolarization images. We show an original way of using this kind of images by using two dimensionned statistical calculation in a Markov random field classification. We present results of our segmentation on urban, forest and mangrove areas...
During the past few years, the non-local (NL)means have proved their efficiency for image denoising. This approach assumes there exist enough redundant patterns in images to be used for noise reduction. We suggest that the same assumption can be done for polarimetric synthetic aperture radar (PolSAR) images. In its original version, the NLmeans deal with additive white Gaussian noise, but several...
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