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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...
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...
Car plate recognition is a very important issue in many traffic related applications, and the enhancement process of car plate image is the key step at the very beginning. Its effect relates to the efficiency and precision of car plate localization and recognition directly. This paper brings forward a new car plate image enhancement method based on a simplified PCNN with the parameters determined...
This paper presents a method for expressing color features of images through color hue histograms, according to the distribution characteristics of image color space. In this method, the spatial features of colors are described in terms of three independent components of the HSV color space, with rotation, scaling and translation invariant features. Tests have proved that favorable retrieval effects...
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...
In this paper segmentation on both color and spatial space is implemented to compare their influence to the performance of content-based image retrieval (CBIR) system. Firstly, images are converted from RGB color space to HSV space. And then cumulative histograms on H component are extracted from four segmented blocks as one color feature of the image. At the same time, the HSV color space is further...
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 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...
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.
Human objects segmentation is one of key problems of visual analysis. In this paper, a novel touched human objects segmentation based on mean shift algorithm is proposed. At first, video images is preprocessed and foreground objects (BLOB) is obtained, model of human object is built according to statistical characteristics of body surface. Then, a few of points picked equally from BLOB is taken as...
A simple and efficient edge detection algorithm based on wavelet transform and morphology is proposed. Combined with dyadic wavelet transform and image gradient calculation, the smoothing filter operators are introduced. Then to the non-uniform illumination problem, a local thresholding, which determines the edges, can be constructed by the algorithm of maximization of between-class variance (Otsu??s...
In order to solve the problem of inconsistent color appearance between different views, and subsequently influences on multi-view video coding, a color correction algorithm of multi-view video based on depth segmentation is proposed in this paper. Firstly, depth information in each view is calculated. Then, background and foreground region are separated with the depth information. Finally, correction...
This paper presents a new face recognition method based on the analysis of local features. Firstly, we can get the images of magnitude by means of analyzing face images with the Gabor wavelets. Secondly, the magnitude images are divided into blocks, then principle components analysis (PCA) could be directly used to all the blocks to construct the feature space. Finally, all the blocks of images are...
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...
The characteristics of scene text include the uneven lighting and the variability of character color which make scene text extraction more difficult than document image. In this paper, a novel scene text extraction method is proposed based on the independence between hue and lightness. We categorize text region into three types according to the composed color. Different color information is used to...
The shape of red blood cell contributes more to clinical diagnosis with respect to blood diseases. In this paper, a compound classification algorithm for red blood cell was proposed, in which the depth map and surface curvature incorporated to deal with different kinds of cell shape. The original image was preprocessed to denoise and the individual 3-D shape of each cell was obtained with shape from...
Image segmentation is an essential and important part in medical image processing. Conventional methods typically demand significant amounts of time and don??t lend to a natural interaction scheme with 3D volume. In this paper we present a novel interactive method for fuzzy connectedness segmentation. In our approach, the user freely specifies a seed point 3D location at regions of interest directly...
Fuzzy c-means (FCM) clustering algorithm is a popular model widely used in segmentation of magnetic imaging (MRI) data. The conventional FCM does not take into account the spatial information of image and get the unexpected results of segmentation when dealing with some MRI contaminated by noise. Considering the intensities of ideal MRI are piecewise constant, we present an improved model to fuzzy...
This paper presents a new method for segmentation of synthetic aperture radar (SAR) images. Based on a non-parametric Bayesian infinite mixture model, Dirichlet process mixture model cluster method is proposed to segment SAR image. The traditional finite mixture model segmentation method is adapted extensively in SAR image segmentation, but the performance and the robustness is not good enough. However,...
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...
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