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License plate recognition is an indispensable part in the management system of city intelligence traffic and the location of license plate is a critical step in license plate recognition. The traditional recognition algorithms of license plate mainly adopt edge transformation to locate license plate, and the degree of accuracy is not high. In this paper, an improved precise location algorithm of license...
Relevance feedback (RF) based on Support Vector Machines (SVMs) has been widely used in the Content-based image retrieval (CBIR). However, three problems are confronted: how to choose the optimal input feature subset, how to set the best kernel parameters, and the training data is scare in the RF procedure. To address those problems, an improved relevance feedback system based on hybrid PSO and active...
By compiling computer program, the plane map of torpedo searching trajectory and the data of target spread probability density can be synthesized and a tridimensional map can be produced. The tridimensional map can illustrate not only the target spread probability density, but also the searching process and searching effect, and can be used to calculate the finding probability of specified searching...
With the description of tGPON and qos principle, we introduce the flow classification technology and speed limit method to implement QoS and put the implementation way and workflow. Then we introduce the experiment steps and the result and give related analysis.
By using intensity probability density and color invariance model, a novel feature-based color image watermarking method is proposed in this paper. Firstly, the uniform and robust feature points are extracted in the color invariance model by utilizing modified speeded up robust features (SURF) detector, in which the intensity probability density gradient is used instead of intensity gradient. Then,...
In order to protect color digital image's information, a new scrambling algorithm based on chaotic sequence is proposed. Firstly, according to the key and the size of color digital image m×n, a chaotic sequence with length of 3mn is generated, and a corresponding subscript sequence is generated by sorting it. Then, the image's RGB component is combined to a matrix of pixels, and transforming of pixel...
In multidimensional data analysis, one important task is to investigate the inner relations and patterns. Numerous visual representations have been proposed, such as parallel coordinates and scatter plots. However, parallel coordinates emphasize the overall patterns and data distributions while ignoring the correlation of data values over more than three dimensions. And when rendering more poly lines,...
The paper introduces theory of spatial scales as well as the processes of extracting planar SIFT characters in details. Meanwhile, aiming at defects of SIFT features, the paper proposes an improved SIFT characters. Firstly, extract SIFT characters for all frame images in the shot, and then screen them through the thought of spatio-temporal interest point, the process of which can separate parts of...
In content-based image retrieval systems, relevance feedback is an important way to narrow the gap between low-level features and high-level conception. Relevant images were often considered in traditional relevant feedback. But irrelevant images weren't considered. The method of moving query vector and method of updating weight factor are only separately used in content-based image retrieval. A new...
A kind of RGB-based compression coding algorithm is proposed to gain better recovered image and efficiently remove the correlation of components in colored image. The key of algorithm is its complete DCT transformation for components of RGB. With table lookup in DCT transformation, the advantage of table lookup can have better embodiment. Result of empirical analysis on spatial coding performance...
Based on the analysis of all kinds of circumstances about vehicles crossing the center yellow line of the road, and the existing algorithm, a local comparison algorithm based on histogram was put forward. Namely, the yellow line region is firstly decided based on the sample image. Then it is used as a template to mask the sample image and the captured images. Further, the similarity of histogram is...
Due to the semantic gap, we can only extract the image feature to identify indirectly the image emotional semantic. In view of the feature extraction problem of image emotional semantic identification, the image feature fusion algorithm with weights is proposed and applied to the identification of image emotional semantic in our paper. According to the effects of the extracted color, texture and shape...
This paper advanced a kind of video object segmentation arithmetic. This arithmetic first segmented the video reference frame by Graph cuts with user interactive behaviors, got accurate object contour. Then, it calculated shape confidence with geodesic distance, and combined color model with shape model adaptively. Finally, it constructed Graph energy function, and segments with Graph Cuts. This arithmetic...
Today quality and safety are major drivers for the seafood industry. In this paper, computer vision technologies might prove highly relevant, providing objective measurements of visual attributes related to seafood quality and safety. We analyze and share our experience to develop the computer vision technologies for the sea-food industry, coupled with prediction models, for inspection of appearance...
Real-time and accuracy are key indicators of object tracking. Traditional particle filter tracking requires calculating a large number of particles, which influences its real-time performance, Mean-shift is a non-parametric kernel density iterative algorithm, which is easily prone to local optimum and converges on non-real target. This paper proposes a new fusion tracking algorithm. It firstly extracts...
Xinjiang Uygur's flower hat is famous all over the world, it leads the world of headwear of variou nationalities within China by the variety of styles, the various ways of how to emroider pattern design, and exquisite manufacture. It is unusual even in national costumes art of the world. The poupose of this paper is to analyze Uygur's headwear, study the rules of Uygur's headwear pattern, analyze...
This paper presented a target face detection method combining pulse coupled neural network (PCNN) with skin color model. First we use "reference white" method to achieve light compensation, and reuse a mixture skin color model based on HSV and YCbCr to detect skin color areas, and then use mathematical morphology and a face detection algorithm to obtain the sub-graph of face. Finally, we...
We describe a face detection system based on multiscale part models for drivers' fatigue detection. Our system is able to represent human face using two eye areas and one mouth area. By using mulriple simple template instead of single template with complex details, new model observably improved the computational efficiency and veracity for face detection. This system also considers the specialty of...
Traditional skin recognition process include parameters ensuring and recognition. Most recognition focused on the accurate of parameters and taked out method of filter light information of image. Experiment proved that the light imformation can not be filter directly from image. This paper take out algorithm of skin recognition based on image enhance method. Firstly, image is enhanced non-linear transform...
In this paper, a video-surveillance system for the detection of abandoned objects and its owner is proposed. The approach is based on dual background for the detection of static foreground and motion analysis for its owner. The static foreground detection performs in two steps: constructing and updating a pixel-based dual background to obtain the dual foreground, carrying a register for the evidence...
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