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A multi-scale edge detection method in the empirical mode decomposition (EMD) domain using the consistent EMD method to decompose the reference noise to adaptively estimate the noise threshold is proposed to detect the edges of noisy signals with different signal to noise ratios. The new algorithm first calculates the slope of the EMD residuals in scales. Second, it eliminates the noise in the slope...
The traditional wavelet edge detection algorithm doesn't ideal processing effects for the salt & pepper noised images. In allusion to this shortcoming, an improved wavelet multi-scale edge detection algorithm is proposed in this paper. Morphology is assimilated into the wavelet detection, and an objective data evaluation is given. Compared with the traditional method, the related coefficient of...
Edge detection is one of the most challenging tasks in image processing. A scheme for edge detection of images based on multi-scale morphology is presented in this paper. Mathematical morphology is a mathematic tool to analyze the image based on the structuring element. The morphological edge detection operator is non-linear difference operator. The results due to the proposed method have been found...
In this paper, we propose an edge detection method for detecting edges by combining a traditional edge detection operator with shear transform utilizing the fact that the shearing operation provides a more favorable treatment of directions. The shearing operation makes the directional edges easy to be detected by traditional operators. Moreover, we can consider the proposed method as a general method...
Edge detection is widely applied in digital image processing, especially in segmentation of images. Many of the well-known edge detectors, e.g., Sobel and Canny operator, are based on spatial filtering with a mask around the pixel under detection. In this paper, we propose a very low complexity edge detector that has two operation modes; non-causal mode and causal mode. Though simple in its form,...
Spam e-mail is not only a waste of time for the recipients but can also spread harmful messages and viruses. To avoid spam filters, spam senders usually send images instead of text. Traditional image spam filters have weaknesses in scanning documents and photographs. However, to transmit information, text is always used in image spam. Therefore, in this study, we classify mail images by the configuration...
Wavelet space entropy is the extension of wavelet time entropy in the two-dimensional space, which can make use of the wavelet to detect sudden change in the signal. It's a good method to eliminate the effect of noise, but at the same time, the edge it detects is coarse and not integrated. Canny operator is a classical edge detection operator that has a good localization performance for the edge....
Edge detection is an essential pre-processing step in image segmentation and object recognition. Conventionally, mathematical morphological edge detection methods adopted a single structure element so that they are difficult to extract complex edge features. In this paper, a novel edge detection algorithm about multi-scale and multi-structure elements morphological is proposed. First, the noise can...
The main disadvantage of traditional global thresholding techniques is that they do not have an ability to exploit information of the characteristics of target images that they threshold. In this paper, we propose a new approach based on combination of modified p-tile and edge detection algorithms to have more accurate object segmentation. Using our proposed method, it is shown that almost all of...
Aiming at the deficiencies of using traditional Fourier transform method to denoise the image data of visual measurement edge detection, the application on wavelet analysis in denoising of visual measurement edge detection. The three-dimensional model of visual measurement based on binocular vision camera was built up firstly, of which on the basis, the wavelet analysis method was used to combine...
Depending on characteristics information of the captured license plate image, this paper locates the approximate license plate by window scanning based on edge gradient, and then locates the accurate license plate area through edge detection and projection. It completes the algorithm on the hardware platform of Hi3515. Testing results showed that the studied technology in license plate location has...
Edge detection techniques in image processing and computer vision occupies a special position. How to quickly and accurately extract the image edge information of objects has been a hot research at home and abroad. This article describes several classical edge detection operator and the recent emergence of a new edge detection method, and its matlab simulation studies and a comparative analysis.
Belt deviation is the most common failure during the operation of belt conveyor, and may cause tremendous harmfulness. In order to improve the intelligence of traditional video monitoring system of belt in coal mine, according to the deficiency of traditional system, we deeply studied various types of edge detection algorithm, and proposed an improved algorithm to achieve the edge extraction based...
A thermography autofocus system based on stepping motor control is designed for air leak location. DFF (Depth From Focus) is adopted to realize the autofocus of thermography. Firstly, a focusing target is designed, and then the horizontal temperature distribution of its thermal image is operated by using energy gradient function as the evaluation function of edge detection, finally the hill climbing...
In order to realize the contour extraction and edge detection of the images of the roots of slope protection plant, a hybrid algorithm which combined with genetic algorithm and back-propagation algorithm is presented to train a feed-forward artificial neural network (BPN). The built characteristics vectors to describe the edge are used as input signal of a three-layer feed-forward neural network....
Image vectorization plays an important role in the digital image processing. Because the traditional linear vectorization methods have some shortcomings including processing data slowerly, being sensitive to noises and being easy to be distorted, this paper proposes an image vectorization method based on mathematical morphology. This method consists of the image edge detection method based on the...
Edge detection is a fundamental and essential pre-processing step in applications such as image segmentation and computer vision. Conventionally, single edge detection method can only reflect the edge information from certain aspect. This paper deeply studies the edge detection methods of the noisy images and concentrates on the mathematical morphology methods. By analyzing and studying the theory...
The information measure is the important parameter reflecting edge characteristic of image. Three basic features of edge point have been represented using information measure technology to distill edge information. This paper has proposed a computing method of information measure and a basic method of distilling edge information using image information measure with nearby area consistency measure...
To the problem of the existing multi-scale edge detection methods couldn't tackle de-noising and edge detail preservation of images, the article proposed a multi-scale edge detection algorithm which took soft threshold method to implement detail enhancement and noise reduction of the true color image. Firstly, obtaining the true color images at different scales through wavelet multi-scale edge detection...
Extracting objects with blurred edges from inhomogeneous background in the natural images is still under exploring. To locate blurred edges, a fault-tolerant method is adopted in the algorithm, to establish the unique, locally calculable minimum reliable scale for each pixel of the image. By simplifying the process of calculating the second derivation for each pixel, the convolution mask along its...
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