The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
H.264, MPEG-4 Part 10, is the latest digital video coding standard that achieves very high data compression by using several new coding features. One of the new feature is variable block sizes for inter frame coding to increase compression efficiency. However, to achieve this, the H.264 encoder employs a complex mode decision technique based on rate-distortion optimization (RDO) that requires high...
In this paper, a simple method for the facial expression detection to identify the normal and unusual of expression variations of the human face is proposed. The approach uses the binary edge image to present the shape of facial expression. The modified Hausdorff distance measure is adapted to our approach to compare between the unusual and normal face expression. In our algorithm, it just needs to...
This paper presents a method which based on Fourier-Mellin transform registration algorithm to rotate the archaic epigraph images correction without reference object. In our research range, we improve the traditional methods of edge detection based on the characters of archaic epigraph images, propose the block edge detection method and the multi-scale edge detection method based on Wavelet Transform...
In this paper, mathematical morphology and its application on suppressing the noises in polluted insulator discharge acoustic emission signal are studied. After analyzing the typical characteristics of polluted insulator discharge signal, edge detection and Top-Hat Transform are adopted to suppress the noises in acoustic emission signal. Both of the two methods are able to remove noises in polluted...
According to the automatic verification of float flowmeter problems, we put forward a device, and it can acquire float height. An MVC - II - 1MM camera is used to capture flowmeter images, and saves them in computer in the form of BMP files. By some functions, such as the edge detection, filtering, binary, expansion, refined, etc, and other algorithms programmed by specific characteristics the float...
There are more and more images, with the characters of multi-sensory, multi-temporal, multi-resolution and Multi-Band. In the same area these images are fused to be complementary. The Second Generation Bandelet transform can take advantage of the geometrical regularity of image structure and represent sharp image transitions such as edges efficiently in image fusion. Based on this advantage, an algorithm...
The FPGA image preprocessing system architecture which uses Sobel algorithm to realize the adaptive edge detection is proposed, and the image data stream read, pre-storage, pretreatment and post-buffering can be achieved in the system. The high-speed stream storage system with complete data flow control path and flexible small-core processing technology is adopted in the design for the realization...
Recently, road detection technique is a very important part of vision navigation, which is the key technique of intelligent vehicle guidance. The detection result is seriously affected by the quality of noise and image. Road edge detection is help to analyze the direction of the road extension and the specific location of obstacles, size and speed of obstacles in the road. In this paper, several typical...
The following topics are dealt with: linear approximation; license plate recognition; color image segmentation; image quantization; wireless video transmission; congestion control; stochastic search; transmembrane helical segments; wavelet transform; semisupervised cluster algorithm; anomaly detection; data privacy; online market information processing; user behavior; particle swarm optimization;...
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...
This paper mainly introduces the edge extraction algorithm of thenar palm print image based on wavelet modulus maxima multi-scale. First, some classical edge detection operators and the Hough transform are introduced. And then the paper focuses on the wavelet modulus maxima multi-scale edge detection algorithm. In this algorithm, a multi-scale Gaussian edge detector is constructed. According to cross-scale...
In this paper, we propose an efficient noise reduction method that can be used to reduce speckle and jointly enhancing the edge information, rather than just inhibiting smoothing. In this method speckle is removed by filtering of band pass ultrasound images in Laplacian pyramid domain by using mixed PDE based nonlinear diffusion. In each pyramid layer, a gradient threshold is estimated automatically...
This paper describes an approach to real-time optical flow computation that combines the corner features and pyramid Lucas-Kanade. Corners instead of all the points in the image are taken into optical flow computation, which could reduce the amount of calculation to a large extend. The experiment has shown that using this optical flow algorithm to track targets is effective and could meet the requirements...
The traditional Canny edge detector is designed to detect the edges of gray image, the color image must be converted to gray image, this method only uses the luminance information of color image, and don't take into account the chroma information, therefore, it misses some edges. In this paper, an improved Canny edge detector against impulsive noise based on CIELAB space is proposed, the color image...
A formal facial image compression algorithm is proposed in this paper. Object segmentation techniques is used to locate the facial region firstly. An adapted version of the original Viola-Jones face detector is used to locate eyes and mouth. The position of chin is estimated and then checked according to the curve in the edge image. Secondly, the background is reassigned to decrease unvaluable information...
This paper proposes an Adaptive Fuzzy Classifier Approach (AFCA) to local edge detection in order to address the challenges of detecting latent fingerprint in severely degraded images. The proposed approach adapts classifier parameters to different parts of input images using the concept of reference neighborhood. Three variants of AFCAs, namely K-means-clustering AFCA, Entropy-based AFCA, and Statistical...
Aiming at the feature of the cavity microscopic image of the cross-section of Fiberboard, a new algorithm is proposed which can detect the image effectively and accurately. This algorithm used Otsu algorithm to segment the cavity from the microscopic image, then refined the cavity edge by using the GAP statistic model which was based on the difference in distribution function of grey-level. The experimental...
The information of vehicle is very important for maintaining traffic order under the present complex traffic environments. The image of vehicle is captured in various ways; fixed camera, movable camera, and vehicle-loaded camera. This paper proposes a new vehicle plate recognition mechanism that is essential to know the information of vehicle. The proposed method is a real-time processing system using...
This paper proposes a method which combines Sobel edge detection operator and soft-threshold wavelet de-noising to do edge detection on images which include White Gaussian noises. In recent years, a lot of edge detection methods are proposed. The commonly used methods which combine mean de-noising and Sobel operator or median filtering and Sobel operator can not remove salt and pepper noise very well...
As one of the most precious source of oilfield, core is the best material to realize and evaluate the underlying geological features. Furthermore, after related processing of core image, the material of core can be more effectively gotten and preserved constantly. This paper select the Canny edge detection operator, and improved it with filtering by Gauss sigma function and adaptive dual-threshold...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.