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Based on the sharing features of a variety of license plates (LP), the vertical edge was first detected by Sobel edge detector. Then, some approaches were adopted to remove the invalid edge regarding the characteristics of edge grayscale jump and edge density, so that the regions having features of LP were preserved. Next, by horizontal and vertical projections and mathematical morphology (MM) operation,...
The vehicle license plate (VLP) location is the key technique of the vehicle license plate recognition system. The region of license plate has rich edge information and fixed color feature. The location method fusing gray edge and color feature is more accurate and easier than the method only in gray space or in color space. The experiments on 200 Chinese automobile RGB real color images taken from...
The new method of active fortify organizing a supervised area based on color and geometric feature is proposed in this paper. By the basis of color feature in the real supervised scene, in the first instance extracting several regions of interest (ROI) with noise, then matching with geometric shape by Fourier descriptors in the database, sequentially achieving automatic organizing a supervised area...
A feature point detection algorithm is presented based on the scale-space theory. The algorithm overcome the drawback that a typical single-scale Harris detector usually leads to either missing significant corner points or detecting false corner points due to noise and position displacement. Original matching is solved by similarity of the image gradient module and argument, and the crude matching...
The technique core of grain reserves automatical supervision and audit system which based on video is to identify the grain warehouse scene video, and accurately gets the sum of grain quantity. The key to identifying the quantity is the shape of package, and the key to identifying shape is processing and describing the boundary of package. Based on a lot of research and experiment on the edge detection...
In order to segment interest objects from multi-view images accurately, an epipolar plane image (EPI) analysis based object segmentation algorithm is proposed. Firstly, the straight lines in EPI are extracted by an improved Hough transform. Then, according to the depth of object, the corresponding straight lines are converted into original image space to get an initial contour. Following that, we...
This paper presents a new noise detection method, in which set eight differential operators, the every pixel gradient is obtained by the eight differential operator and image for convolution. Then an arithmetical mean, which comes from the convolution, is used as final comprehensive assessment indicators. The experimental results show that the method can reflect the impact of different types of noise...
Video stabilization is a technology to remove the dithering between frames in a video sequence by motion estimation, motion filter and motion compensation. In this paper, we focus on the motion estimation (ME) step which is known as the most important part for a successful video stabilization system because the latter processing heavily relies on it. However, traditional ME methods mainly hypothesize...
The establishment of the likelihood model of state observation with a strong robustness is one of the core issues in the study of moving hand tracking. This paper is dedicated to building a robust likelihood model of state observation, and do some study by using the method of gaining feature points from frame images of human hand. Firstly, based on physiological models and camera projection principle,...
In order to extract bottle boundary and pick out unqualified tube-type bottles which possibly have breaks and irregular shapes, a novel processing measure is taken based on wavelet transformation and mathematical morphology. Industrial bottle image contains noises so that traditional and theoretical image processing algorithms need to be improved. In addition, due to bottle inspection standard is...
In this paper we propose a method that simultaneously performs image denoising and salient curve extraction among random dot patterns using tensor voting. Given an image containing random dots, the pixels are first converted into a set of tokens to be preprocessed by tensor voting, then the voting results are binarized and thinned by a morphological filter to extract the salient curves. At last the...
Pixel point gradient features represent much of the intrinsic structures of an image and can be used to the description of machine vision object. By ICA technique, pixel gradient data can be projected from a high-dimensional space to a lower-dimensional space, which reduce the redundancy with no image segment based on threshold. A method of visual object matching based on gradient ICA feature is provided...
Among the solutions for stereo matching which is regarded as one fundamental topic in computer vision, methods based on regions can overcome the drawbacks of methods using points and lines as the features since regions can more exactly reflect the inherent properties of images processed. In this paper, we propose an efficient method to extract the local invariant region, in which the affine moment...
In order to overcome classical wavelets' shortcoming in image processing problems, people developed many producing systems, which built up wavelet family. In this paper, the notion of AB-multiresolution analysis is generalized,and corresponding theory is developed. For an AB-multiresolution analysis associated with an expanding matrix, we deduce that there exists a singe scaling function in its reducing...
In this paper, a new method of sparse coding shrinkage based on independent component analysis is proposed to reduce speckle in polarimetric SAR Images. With soft-thresholding operator on polarimetric SAR Image, this method reduces speckle effectively and preserved polarimetric properties. The experiment shows that the image edges are retained with the proposed method and the speckle is removed effectively.
This paper presents an isophote-oriented image interpolation method that attempts to produce smooth reconstructions of the image??s level curves while still maintaining image fidelity. The proposed method employs an interpolation kernel that is obtained by looking for the explicit solution of a nonlinear PDE (partial differential equation). The PDE preserve the local continuation of isophotes (curves...
Salient points detection is a bridge which connects the low-level and mid-level visual processing, and is an important cue for contour extraction and perceptual organization. It is an old but challenge work to detect the salient points in natural images in computer vision field. This paper proposes a novel method for saliency detection in natural images, which combines the SSE (Scale Space Edge) algorithm...
A scheme for packaged granary grain quantity intelligent reckoning based on image processing was proposed in this paper. According to the actual scene, the grain bag characteristic outline -- the boundary of the counter-band of light was presented and taken as the analysis object. An algorithm combining Canny operator with image morphological thinning are used to extract the outline. Then, a counting...
A novel approach for scene matching real-time image geometric rectification is proposed. Based on the analysis of the reason caused geometric distortion in the process of real-time image capturing, two coordinates system are given, the real-time image distortion classification are analyzed, and the distortion mathematic models are established. Then, the geometric rectification of the real-time image...
In this paper, we propose a wavelet lossy image coding algorithm with edge detection and tracking using wavelet difference reduction. Firstly, we obtain the edge map of an obstacle image by SUSAN edge detector. And an edge tracking filtering method is applied to the edge information image and Region of Interest (ROI) is extracted from the original image. Then the coordinates of ROI are mapped to the...
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