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In this paper, we present a new color image segmentation model based on nonconvex low-rank and nonconvex sparse (NLRSR) factorization of the feature matrix. The main difference between our model and the recently developed methods like the sparse subspace clustering (SSC) and low-rank representation (LRR) based subspace clustering is that they use the data matrix as the dictionary while we learn a...
Gaussian mixture models(GMM) is a widely used approach for background modeling. However, computational barriers have limited its usage in real-time video processing applications. In this paper, we discussed a new update algorithm to achieve the goal of fast detection. Dirichlet prior are introduced to avoid redundant Gaussian components, reducing the computation time of each pixel. Most of the existing...
In order to overcome deficient using character of skin segmentation and calculate much of template matching, The paper presents a method of Face Detection Based On Skin Segmentation and Template Matching. In the study of threshold in skin segmentation, the paper presents an adaptive threshold based on amount of pixels and presents a search method of mirror image. In the study of template matching,...
Image segmentation is an important image analysis technique, the segmentation result of which is critical to determine the performance of high-level modules in image processing system. After a brief introduction LLT image segmentation algorithm, focusing on analysis of the inadequacies of LLT algorithm, propose an improved ILLT image segmentation algorithm. Experiments show that the algorithm improves...
In current license plate recognition, there are many problems because of the complex, irregular motion and blur license plate. This paper presents a license tilt detection method, and to improve overall system performance and reliability, proposes some detection algorithms: gravity center method, Hough transform, the method of put vertexes into a line. Simply described their processes, at the same...
There are the problems such as slow identification, poor anti-interference capability in the traditional edge detection. In this paper, it analyzes the different traditional detection algorithms and experimental results. Based on the analysis, it proposes out the edge detection algorithm based on wavelet, and analyzes the effect of wavelet edge detection.
License plate recognition can be widely used in traffic direction of Olympic Games, traffic management, and so on. Because the picture of license plate is complex, the character segmentation error is a main cause of decrease of license plate recognition rate. Research on denoising and character segmentation algorithm is crucial in the license plate recognition system. Connected domain analysis method,...
A few of classic thinning algorithms are presented. Combing with the advantages of the medial axis approach and the peeling approach, propose a new thinning algorithm, and it has been used to the car plate recognition system. The experiment shows that the new algorithm provides high implement efficiency, good thinning effect, greatly improving the whole performance of car plate recognition system.
An object detection method for aerial images based on feature extraction and mathematical morphology is proposed in this paper. The changes of the background have smaller influences on this method with less computational complexity. The method is composed of three parts: initial segmentation, morphology processing and object detection. Initial segmentation can find rough object regions by feature...
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