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Recent years, people pay more attention on their culture and art education. Traditional art paintings as a major part of the culture of every country have been studied to identify the history and culture of a country. There are some applications have achieved to analyze the content or emotion of paintings. However, there are few people making a system that can classify paintings based on the author...
Gesture Computing is a technology that allows hand movement and facial expressions as input controls. Many devices are used now-a-days for capturing images and storing in their mass storage devices provided within them like digital camera with memory cards, mobile phones with inbuilt memory and memory cards, etc. We focus on capturing images and storing them by using gesture computing method in MATLAB...
Liquid crystal display technology requires the spectral power distribution measurement of the displayed RGB colors. Such measurement tasks are typically resolved by means of spectrophotometers and the measured data is used in several applications. The costs of color management methods have been decreasing recently mainly because of the reduced costs of spectrophotometric equipment. However the hardware...
In this paper, we investigate the algorithmic complexity of deciding colorability, as a function of the number of available colors. Intuitively, one may assume that the problem's complexity is highest around the chromatic number of the graph. We give substantial empirical evidence that this intuition is largely true, both for exact and heuristic graph coloring algorithms. We give a rigorous proof...
In this paper, we introduce a new real-time rendering algorithm for virtual endoscopy based on GPU. The algorithm reduces the amount of data collected by the Image Memory without affecting 3-D image display accuracy. And it can be applied to compute any complex ray-generation and rendering clips in the volume rendering, making use of GPU's power of parallel computation computing and multi-data processing...
For improving environmental visual perception of indoor robots more accurate and faster, a new model based on image multi-feature fusion is proposed. The hierarchical match mode is used to match real-time collected images of indoor robot with various multi-directional and multi-state images in a database. After establishing a database of 1000 images, average accuracy, average recall ratio and average...
The paper outlines the status of Variable Message Signs (VMS) on urban expressway in Beijing, and analyzes the reason for benefit generated by VMS. Firstly, the criterion system of VMS evaluation is built. Secondly, the means of data collection related to criterion system are ordered. Thirdly, the approach to VMS evaluation is determined as with or without method and cost-benefit analysis, which is...
With the progress in image processing and pattern recognition, computerized tongue diagnosis has received considerable recent research interest. In computerized tongue diagnosis, reflection is unavoidable in the acquisition of tongue images. Correct detection of the highlight area and removal of reflection in tongue images is requisite and would greatly affect the performance of tongue texture analysis...
As urban road intersections are prone to traffic congestion and traffic accidents, monitoring the crossing of vehicles and predicting the state is needed to reduce traffic congestion, regulate driver behavior and prevent accidents. Background subtraction and mean shift tracking are used to track vehicles. The whole monitoring process is as following. Firstly, secondary selected strategy is used to...
Abstract-Deficiencies and excess of soybean's plant nitrogen is the key of soybean nutritional diagnosis. Applying image processing technique, this paper studied the leaf images of the six stages of soybean growth, which nitrogen fertilizer applied were 0%, 50%, 100% and 150%. Using image preprocessing, the noise of source image was removed and the areas of interest were enhanced, leaves and background...
Background subtraction is a traditional method for detecting objects in stationary background. However, this traditional method is difficult to detect objects accurately in the real world, because the background is usually cluttered and not completely static. In this paper, we propose an object detection approach using Ant Colony System (ACS) in a MAP-MRF framework. For object segmentation, a MAP-MRF...
As compared with text spam, the image spam is a variant which is invented to escape from traditional text-based spam classification and filtering. Various approaches to image spam filtering have been proposed with respective advantages and drawbacks in terms of time cost and efficiency. In this paper, we propose a new approach based on Base64 encoding of image files and n-gram technique for feature...
We present a new implicit branching strategy for maximum clique. The new strategy is based in Konj and Janečič's improvement over reference MCR algorithm. It uses a fixed initial non increasing degree vertex ordering at every step of the search, to obtain tighter bounds than MCR on average. We show that the new branching strategy integrates nicely with a natural bit model for the domain. This allows...
Current video and image systems are typically of limited use in poor visibility conditions such as in poor illumination, rain, fog, smoke, and haze. These conditions severely limit the range and effectiveness of imaging systems because of the severe reduction in contrast. The contrast of any image is a very important characteristic which decides the quality of image. Our chief goal in this paper is...
In order to extract valid information from video, process video data efficiently, and reduce the transfer stress of network, more and more attention is being paid to the video processing technology. The amount of data in video processing is significantly reduced by using video segmentation and key-frame extraction. So, these two technologies have gradually become the focus of research. With the features...
At its simplest, volume calculation of MR Image segmented & further soft computed to estimate the affected intensity of Alzheimer's disease is dealt with this paper. It is concerned with Voxel Based Morphometry to render the first part segmentation. The result gives an active region which further needs an estimation to justify the diagnosis. As in this case the image is in form of voxels. When...
Most video processing applications require object tracking as it is the base operation for real-time implementations such as surveillance, monitoring and video compression. Therefore, accurate tracking of an object under varying scene conditions is crucial for robustness. It is well known that illumination variations on the observed scene and target are an obstacle against robust object tracking causing...
In this paper, we propose a new Gaussian mixture vector quantization (GMVQ)-based method to summarize the video content. In particular, in order to explore the semantic characteristics of video data, we present a new feature extraction method using independent component analysis (ICA) and color histogram difference to build a compact 3D feature space first. A new GMVQ method is then developed to find...
We present a linear-time algorithm for deciding first-order logic (FOL) properties in classes of graphs with bounded expansion. Many natural classes of graphs have bounded expansion: graphs of bounded tree-width, all proper minor-closed classes of graphs, graphs of bounded degree, graphs with no sub graph isomorphic to a subdivision of a fixed graph, and graphs that can be drawn in a fixed surface...
The paper presents a novel multi-factorial approach for robust real-time object tracking. The target object is modeled using joint features of color (Intensity) histogram bins, texture, shape. In subsequent frames of a video, target localization is done by generating a confidence-map (a binary image) which discriminates foreground and background using K-means clustering algorithm. Random samples (sample...
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