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Content-Based Copy Detection (CBCD) is an emergent research topic and has been extensively studied recently. Color is one of the most important and easily recognizable features of visual content. To address efficiency and effectiveness issues of CBCD systems, in this article a compact and computationally inexpensive CBCD scheme using MPEG-7 Dominant Color Descriptor is proposed. This paper proposes...
In this paper, a new medical image segmentation algorithm based on Skew Gaussian distribution is proposed. In brain images, it is necessary to classify the brain voxels into one of the 3 main tissues mainly Gray matter (GM), White matter (WM) and Cerebro Spiral fluid (CSF). Quantization of Gray & White matter is a topic of concern in neuro-degenerative disorders. Viz., Alzheimer disease and Parkinson's...
In this paper, we have proposed an accurate and an efficient text detection model for document images and video frames. The proposed model is based on the Moravec operator to localize text in a document image and horizontal and vertical mask convolution is performed to identify the actual text blocks. In order to exhibit the performance of the proposed model, we have conducted experimentation on the...
Texture analysis plays a vital role in remotely sensed image classification as every pixel is going to be classified based on the collective pixel values of neighborhood. The result thus obtained gives increased classification accuracy. In this paper, a modified texture model obtained by modifying Multivariate Local Binary Pattern (MLBP) texture model is used for classification in remotely sensed...
Image retrieval is an active research area in numerous applications. Color and Texture is an important Low Level features for content based image retrieval and this paper proposes a method for extracting color feature using Discrete Wavelet transform and Auto-Correlogram. The Weighted Wavelet Auto-Correlogram is applied on the High frequency sub bands such as LH, HL and HH of the Y, Cb, and Cr channel...
Cryptography is the art of securing information by making sure that the secret can be understood only by the right person. Steganography is the process of sharing information in an undetectable way by making sure that nobody else can even detect the presence of a secret. If these two methods could be combined, it would provide a fool-proof security to information being communicated over a network...
SSAO(Screen Space Ambient Occlusion) is a global illumination algorithm, it samples the depth information of pixels around each pixel in the screen space to calculate the ambient occlusion caused by the surrounding geometry. It can enhance the sense of space and layering and increase the level of realism. This paper proposes a fast implementation of SSAO, the experimental results demonstrate that...
The fingerprint image preprocessing is the premise and basis for fingerprint identification. It will directly influence the final outcome of fingerprint identification. In order to maintain and restore fingerprint ridge structures, and improve the noise immunity of fingerprint image preprocessing algorithm. In the paper, a method for getting direction image based on gradient is given. Using direction...
This paper deals with a novel steganographic technique which demonstrates the colour image authentication technique in frequency domain based on the Discrete Fourier Transform (DFT). The DFT is applied on sub-image block called mask of size 2 × 2 for frequency components of corresponding spatial component. This transforms process done from beginning to end mask in row major order of the carrier image...
Image super-resolution is the process by which additional information is incorporated to enhance a low resolution image thereby producing a high resolution image. In the simplest case super-resolution of a single image is a process of obtaining high-resolution image with more number of pixels with more resolving power. Therefore the super-resolved image should demonstrate an improvement in the perceived...
This paper deals with the video surveillance problem in static camera. The aim is to design a moving object detection system based on advanced CPU DM6437. After capturing the pictures according to the timing, the background model is established without the objects and the background information is real-time updated due to the changes of the environment. After that, background subtraction is used so...
This paper proposes an image clustering algorithm using Particle Swarm Optimization (PSO) with two improved fitness functions. The PSO clustering algorithm can be used to find centroids of a user specified number of clusters. Two new fitness functions are proposed in this paper. The PSO-based image clustering algorithm with the proposed fitness functions is compared to the K-means clustering. Experimental...
In this paper, new techniques have been introduced for revealing the individual features of a person's handwriting pattern to facilitate text-independent off-line writer identification. These techniques are aimed at designing a dynamic model which can be formalized according to any handwritten text line. Various combinations of the extracted features are applied to three well known classifiers for...
We discuss FPGA implementations of object (such as face) detectors in video streams using the accurate Haar-feature based algorithm. Rather than creating one implementation for one FPGA, we develop a method to generate a series of implementations that have different size and performance to target different FPGA devices. The automatic generation was enabled by custom design space exploration on a particular...
Localization of the eyes and mouth in face images is very important for accurate classification in automatic face recognition systems. The alignment of unknown face images with templates generally improves the performance of the face recognition system, and this process uses locations of the eyes and mouth. In this work, we compare different features (gray-level values, distance transform features,...
Quality-of-service (QoS) management often requires a continuous monitoring service to provide updated information about different hosts and network links in the managed system. However, it is a challenging task to achieve both scalability and precision for monitoring various intra-node and inter-node metrics (e.g., CPU, memory, disk, network delay) in a large-scale hosting infrastructure. In this...
Digital halftoning is a crucial technique used in digital printers to convert a continuous-tone image into a pattern of black and white dots. Halftoning is used since printers have a limited availability of inks and cannot reproduce all the color intensities in a continuous image. Error Diffusion is an algorithm in halftoning that iteratively quantizes pixels in a neighborhood dependent fashion. This...
Finding tradeoffs in design space is naturally formulated as a multicriteria optimization problem. In this paper, we model tradeoffs between communication cost and the balance of processor workloads for the problem of mapping applications to processors in a multicore environment. We formulate several query strategies for finding Pareto optimal and approximately Pareto optimal solutions to the mapping...
Image segmentation is a fundamental problem in computer vision. Recently, ensemble learning receives more and more attention for its robustness, novelty and stability. Generally there are two problems in ensemble learning. One is the generation of the individuals of ensemble. The other is the consensus function of the individuals. We focus on the second problem. A new consensus function is proposed...
Background subtraction methods are widely exploited for moving objects detection in surveillance video sequences acquired by static camera. Gaussian Mixture Model (GMM), whose convergence speed is rather slow, can be used to model the background of complex scene. This paper adds virtual Gaussian component into GMM and optimizes the updating process of parameters in GMM, in order to increasing the...
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