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In this paper we present a morphologic edge detector using multidirectional structuring element approach for detecting edges of complex images under noisy condition. The experimental results show that the proposed edge detector has the desirable properties that a good edge detector should have. Comparative study reveals its detection performance exceeds conventional edge detectors and other morphologic...
Image segmentation is a technique used to segment region of interest (ROI) in the image for further image processing applications. Contour extraction is one of the most important image segmentation methods. In this paper, a contour extraction method is proposed, which consist of two stages. The first stage is automatic initial edge point selection (IEPS), and the second stage is segmental contour...
This paper is concerned with the detection of road paths and drivable surfaces in different images under non-uniform light condition using simple coordinate logic filters. Road images taken in the campus have been used to test the algorithm. First the image samples are segregated into different segments depending on the intensity. Subsequently coordinate logic detectors are applied to extract the...
Road detection is the most fundamental part of autonomous vehicles. Noises caused by shadows and vehicles on the road have a great negative impact on the road detection. Our method improves the performance under the noisy environment by taking advantage of color information to determine the road curvature. A novel geometrical method is proposed in this paper to select the most matched curvature. A...
In this paper we propose a fast and robust descriptor for multiple view object recognition using a small number of training examples. In order to design a descriptor to be discriminative between many different object appearances, we base it on a combination of invariant color, edge and texture descriptors. We use a color descriptor based on a HSV histogram - as it is robust to size and position of...
A new restoration algorithm aimed at local motion-blur in a complex background is proposed in this paper. First, the local blur part of the image is extracted from the complex background and it is pasted on a bottom of monochromatic background. Then image restoration is done on the blur part in the monochromatic background which is easy to be restored. Finally, the restored local image is pasted back...
A moving object segmentation algorithm based on edge detection is put forward in this paper. The algorithm reconstructs background from image sequence. It uses edge detection to eliminate the disturbance of shadow, and uses Gaussian filter to eliminate noise. The background subtraction is used to extract moving object. The experimental results show that this algorithm effectually avoids the influence...
An automatic identification system for the OLED's black-spot detection was designed in this paper. Complete approaches based on machine vision technology are proposed to get the sub-pixel location of black-spots. In this method, feature area is recognized based on the identification of spots' edge characteristics. The method of circle fitting is used to get positions of the spots' center. The experiments...
The detection of fine feature from an image is often challenging. Generally, the smoothing filters used for the purpose are inadequate for such applications with the exception of bilateral and mean shift filter. A new smoothing filter termed Gaussian Maxima Filter(GMF), developed and presented here shows better performance in preserving fine features even for relatively large window size. This paper...
The detection of license plate region is the most important part of a vehicle's license plate recognition process followed by plate segmentation and optical character recognition. Edge detection is commonly used in license plate detection as a preprocessing technique. This paper compares the performance of the image enhancement filters when used in edge detection algorithms combined with connected...
The accuracy and speed of laser spot center detection algorithm directly affect the efficiency and the application range of the measurement. This paper proposes a novel laser spot center detection method based on the laser spot's geometry feature. This method firstly extracts the contour by detecting the spot image, then further optimizes the extracted contour according to the geometric characteristics...
This paper describes an efficient method for image edge and corner detection. Edges are detected before extracting corner points so that the background or noise of the image can be effectively removed. We propose an edge detector that utilizes edge features to localize the edge points. The corner points of an image are then identified by evaluating the degree of turning in the edge direction. The...
This paper presents an iris detection and marking method based on Haar features from images of figures. We firstly apply Haar-features detection algorithm and Canny edge detection algorithm, to the image, then scan and extend the contours in particular areas to get an initial U-Curves marking iris contours, and then carries on sample expanding and noise reduction to get optimized sample points. At...
Transport belt is the most widely used conveyor device in coal mine, the longitudinal rip of transport belt will bring great losses to coal production, this article design a detection system for longitudinal rip of the belt. The device capture images by CCD camera which is under the belt, and computer is used for analyzing and processing the signal of the collected image, by comparing the characteristics...
On-screen text is a rich information resource to query events in soccer video due to its close relation to what happens on the screen. However, low resolution, clutter background, unknown font, size, color, etc. prevent the efforts of using this resource for querying. This paper presents a novel approach for querying events in soccer video using on-screen texts. The proposed approach is completely...
The methods of image edge detection based on the differential, wavelet transform and image morphology are introduced in the paper. Differential operator edge detection method is based on the edge of the adjacent regions' boundary that is not continuous with the gray, using derivative to detect the edge, Wavelet transform edge detection is by means of selecting the appropriate wavelet function to make...
This paper presents a new Line Enhance Active Contour model (LEAC model) to detect the flame front boundaries from high speed Planar Laser Induced Fluorescence (PLIF) images. The model first enhances the crack region and the gradient of flame front by the Line Enhance Filtering algorithm, and then extracts flame front boundaries and crake edges from the enhanced PLIF images using the CV model. We...
This paper presents a new human visual system (HVS) based adaptive digital watermarking scheme using discrete cosine transformation (DCT) and singular value decomposition (SVD) for copyright protection. For watermark embedding mask of the original image is computed using HVS model and original image is transformed into frequency domain using DCT. We embed watermark by modifying the singular values...
There is a global concern to implement accurate person verification in various facets of social and professional life. These include banking, travel and secure access to social security services. While biometrics have been deployed with various choices as face, finger print, etc the importance to higher levels of security have influenced two things. One is of finding newer and more universal biometrics...
Multiscale Geometry Analysis consistent with the best features of the image representation, is effective for high dimensional function approximation and can use the image of the geometric regularity. In this article, we will mainly discuss the transformation of the Beam let based on Multiscale Geometry Analysis, formulate its theoretical basis, and by Matlab simulation results show the advantages...
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