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Image processing includes many various procedures and one of the mostly used is edge detection. Sometimes is desirable to improve precision of edge detector to sub-pixel range. In our paper we deal with precise localization of edge which is moving during the exposure time. For such the edges we tested three edge detectors with sub-pixel precision in 1-D images: algorithm that uses function erf to...
The method of edge detection based on the sharpen control filter to the maximum marginal curve's inclination has been developed. The mode of operation of the proposed method has been described, examples of processing medical images, including X-ray images and images obtained by capillaroscopy have been provided; a comparative analysis of the treatment effect has been made.
In the paper we introduce three methods for image processing, they are pixel extraction method, memory method and pointer method. With the same condition of data structure and algorithm, the three methods are used in edge detection for the digital images. In order to compare the actual operation efficiency of these three kinds of methods, we use C# to write a Windows Form Application program in the...
The process of repairing the damaged area or to remove the specific areas in a video is known as video inpainting. To deal with this kind of problems, not only a robust image inpainting algorithm is used, but also a technique of structure generation is used to fill-in the missing parts of a video sequence taken from a static camera. Most of the automatic techniques of video inpainting are computationally...
In this paper an algorithm which is able to count the number of fingers from a hand posture is presented. The method is based on hand contour and skin colour information. The middle axes of the fingers are detected. The method is robust regard the hand edge detection.
In this work, a novel occlusion detection algorithm using online learning is proposed for video applications. Each frame of a video is considered as a time-step for which pixels are classified as being either occluded or non-occluded. The Hedge algorithm is employed to determine weights for a set of experts, each of which is tuned to detect a specific type of occlusion boundary. In contrast to previous...
CT diagnosis has been widely used in medical tests. This article introduced the wavelet packet progressing on digital images first and then the Roberts, Prewitt, Sobel, LOG and Canny which belong to edge detection algorithms. Their merits and demerits are expounded by the edge detection algorithms of lung CT image on operators through MATLAB and comparison of both the difference between the detection...
Building edge detection exploting Synthetic Aperture Radar (SAR) multi-channel data is a research topic of increasing importance in years. The basic idea of the presented algorithm is to estimate edges using jointly both SAR amplitude and phase data. The technique exploits also Markov Random Field (MRF) theory. A correlation map, from which building edges are detected, is computed using both phase...
In view of the Kirsch edge detection algorithm's shortage, a method of improved Kirsch human face edge detection was proposed. First, this method smoothed the original image with Gaussian filter, calculated its gradient image. Then, this method calculated the gradient image using the improved Kirsch algorithm, and extract edge according T1 and T2 two. Computer simulation experiments indicated that...
A new adaptive weight algorithm is developed for the removal of salt and pepper noise. It consists of two major steps, first to detect noise pixels according to the correlations between image pixels, then use different methods based on the various noise levels. For the low noise level, neighborhood signal pixels mean method is adopted to remove the noise, and for the high noise level, an adaptive...
In both human and machine vision systems, edges in images are of crucial significance in understanding the contents of images. Edge detection has therefore become an important task in image processing. In this paper, we propose a new operator for detecting edges in images. This operator is based on the principle of evaluating the local fluctuation of the pixel values. We first normalize the pixel...
Image edge detection plays an important role in the system of computer vision. Wavelet is a powerful tool in image processing and has wide application to edge detection for its multiscale characteristic. Based on wavelet modulus maximum edge detection algorithm, an improved method is proposed in this paper, which gives an automatic determination function of eliminateing noise threshold by using the...
In order to quickly and exactly extract the subpixel image edge, a new method of subpixel image edge based on Fourier-Mellin moment is proposed. Firstly all possible edge points were detected quickly with using Fourier-Mellin moment operator with mask size of 3×3, secondly a Fourier-Mellin moment operator with mask size of 7×7 was used to relocate the edge with subpixel accuracy. Experiment results...
In order to realize infrared small object track detection, the paper analyses the principle of the target tracking detection, the technology combining Mean Shift track algorithm and image processing is proposed. According to the principle, every tache of detection system is analyzed, and then the optic detection model is set up. The detection model of dynamic object is set up. The paper analyses the...
Image Processing has a vital role in quality analysis of objects and presumably is one of the best ways of non destructive techniques. This paper aims at detecting flaws if any in the granite blocks by analysis of their digital images. Two common defects, Crack and Mica contamination is studied. The unique characteristics of the defects are studied. To detect the mica contamination k-means segmentation...
Facial Expression plays a vital role in the identification of Emotions and comprehension level of the students in the virtual classrooms. Expressions that signal emotions include muscle movements such as raising the eyebrows, wrinkling the brow (the forehead or eyebrow), rolling the eyes or curling the lip. Here, we propose an efficient method for identifying the expressions of the students to recognize...
Melanoma can be cured if it is detected early, so early diagnosis is very important in dermatological practice today. Early and non-invasive diagnosis of melanomas can be done by accurate image segmentation of skin lesions. The medical images, while acquisition are generally bound to contain noise. This paper proposes a robust and efficient image segmentation algorithm using LOG edge detector to extract...
Vehicle license plate identification system is an image-processing technology used to identify vehicles by their license plates. This technology is used in various security and traffic applications. This data is also used for enforcement, data collection, and can be used to keep a time record on the entry or exit of vehicles for automatic payment calculations. The significant advantage of this system...
Edge of image is one of the most fundamental and significant features. Edge detection is always one of the classical studying projects of computer vision and image processing field. It is the first step of image analysis and understanding. With the continuous improvement of remote sensing image, especially the appearance of Digital Aerial Image, edge detection is necessary step to extract information...
To realize precise micro-vision positioning based on edge detection of micro-structure parts, a pixel-level edge points detection method based on limit local entropy was proposed. 2-3 pixel were extended in the gradient direction to both sides from the edge points to construct the 3 cubic spline interpolation function of edge transition zone. Using function derivation to obtain the floating value...
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