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This paper analyzes construction method of Mathematical morphology structure element, puts forward a new algorithm for constructing mathematical morphology structure element , combined genetic algorithm, and designs corresponding genetic fitness function, cross operator and mutation method. We apply structure element obtained from this algorithm to traffic vehicle detection, and carry out experimental...
In a vehicle license plate identification system, locating the license plate in the image or video of a vehicle is an important step before final recognition. In the proposed method care has been taken up to extract license plate of motorcycle (size of plate is small and double row plate), car (single as well as double row type), transport vehicle such as bus, truck, dirty plates as well as multiple...
Slant vehicle license plate had the bad effect on its character segmentation and recognition. In this paper, a new method to remedy the effect based on mathematical morphology and Radon transformation was presented. According to the Radon transformation, the corresponding correction methods are presented for three inclined ways. Firstly, the edge of the plate picture is detected by the related operation...
A novel locating vehicle license plate (VLP) method is proposed in this paper. Firstly, preprocessing is used on the license image. Then a series of morphological operations are used to extract important contrast features to find out all license plates candidates. As a result of the noise, more than one candidate will be extracted after the morphological operations, so the auto -correlation based...
This paper presents a robust vehicle license plate detection algorithm based on multi-features, including mathematical morphology, rectangle features, edge statistics and characters features. Here we utilize the word ??robust?? to describe the proposed algorithm because it is not only adaptive to variance occasions, such as variance of the illumination, vehicle position, the color, both background...
This paper presents an effective license plate location algorithm, which employs Mathematical morphology to extract the number plate from the complicated-background image. Mathematical morphology is a new method which is applied in this filed of image treatments and pattern recognition. The basic mind is using structure element to measure and extract corresponding Shape of image and finally in reach...
License plate recognition plays an important role in intelligent transport system; however, plate region extraction is the key step before the final recognition. In this paper, an effective license plate extraction algorithm based on vertical edge detection and mathematical morphology is proposed, which can exactly extract the plate from complex background. The proposed algorithm mainly consists of...
In this paper, Adopt a way that combines with Mean Shift algorithm and Kalman filter to tracking moving vehicle in the paper. At first, Using inter-frame difference algorithm to extract aimed-vehicle. After the aimed-vehicle is processed by binarization and mathematics morphology, we adopt Kalman filter to predict the position of vehicle. Then we adopt Mean shift algorithm to iterate and compute the...
License plate location is the key to the recognition system of motor vehicle license. This paper presents an algorithm for license plate location based on compound mathematical morphology. An edge detection operator is designed for the edge extraction of the license plate image, with a clear edge image obtained. Then, the horizontal and vertical projections are used to locate the license plate area...
This paper studies some aspects needing to be improved in current video supervision technology. It puts forward video supervision background self-adaptive algorithm in complex environment, by using mathematical morphology, genetic algorithm, rough set theory, etc. We construct morphological structure element according with traffic moving target, and propose mathematical morphology analysis model for...
A vehicle detection algorithm was proposed based on the morphology and wavelet transform, in the context of the traditional difference. First, the background model was established, using statistical means of the rapid sequence. As background to transform the impact of light obviously, the corresponding easy and quick to update the background algorithm was used. Using the background of the video images...
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