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.
Edge detection algorithms often produce broken edges, especially in noisy images. We propose an algorithm based on discrete particle swarm optimisation (PSO) to detect continuous edges in noisy images. A constrained PSO-based algorithm with a new objective function is proposed to address noise and reduce broken edges. The localisation accuracy of the new algorithm is compared with that of a modified...
Texture boundaries or edges are useful information for segmenting a texture image. We present the experimental results of texture edge detection using 1-D and 2D multichannel, multiresolution gabor, log gabor and circular gabor filters and self organizing map (SOM). The traditional Gabor function is modified into a circular symmetric version to achieve rotation invariance. The log gabor provides the...
PMD camera is an active 3D camera based on TOF principle. This camera can capture intensity image and depth map at the same time and also has advantages of high frame rate, non-scan and independence on ambient light, etc. But the depth data are contaminated by random noise and systematic bias. To solve this problem, this paper analyzes the factors that affect the precision of distance data and presents...
In this paper, a new algorithm for dynamic vehicle license plate localisation is proposed on the basis of signature analysis and connected component analysis. Most existing techniques use low level features such as detection of colour and edges, these methods may have issues with reliability. The proposed algorithm however, aims to manipulate more accurate perceptual motion information. The camera...
Edge detection plays a critical role in image processing. The performance of an edge detection algorithm can be affected by serious noise & intensity inhomogeneities. In this paper, a method aiming at detecting edge of image with varieties of gradient signal degradation is proposed. The method comprises two steps. The first step is to perform adaptive histogram equalization to improve the signal...
The aim of this paper is to provide an algorithm for image fusion which combines the techniques of Chebyshev polynomial (CP) approximation and independent component analysis (ICA), based on the regional information of input images. We present a region-based method that combines the merits of both techniques. It utilises segmentation to identify edges, texture and other important features in the input...
The real noise model corrupting the observed images is unknown and usually random statistical model. Consequently, classical SRR (Super Resolution Reconstruction) algorithms using median (L1) and mean (L2) filtering structures may degrade the reconstructed image sequence rather than enhance it. The mathematical analysis [1] demonstrates that the meridian filtering structure exhibits more robust characteristic...
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...
This paper suggests an improved segmentation of remote sensing images based on watershed algorithm to reduce the over-segmentation of the watershed transform. Taking into the characteristics of remote sensing, remote sensing images were filtered using a fast peer group filtering (PGF). Then do watershed transform on the multi-scale morphological gradient image and merge regions by grey similarity...
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...
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...
The plate parameter measurement method can be applied to industrial intelligent control. It not only reduces the cost of plate parameter measurement, but also improves the accuracy and efficiency. Based on the practical application and research of object extraction on plate image, the paper proposes a kind of plate parameter measurement method based on ISL (Image Segmentation and Thinning) algorithm...
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 this paper a new, faster approach which is different from all the other conventional image vectorization techniques. Using canny edge detection we are able to find the sharp edges in the image and the assigning shades to each identifiable segment using random colour extraction from the original image. Finally mapping the colour blobs with the SVG Schema and generating a scalable vector image. This...
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...
Image restoration is the process of recovering the original image from the degraded image. Aspire of the project is to restore the blurred/degraded images using Blind Deconvolution algorithm. The fundamental task of Image deblurring is to de-convolute the degraded image with the PSF that exactly describe the distortion. Firstly, the original image is degraded using the Degradation Model. It can be...
In this paper we propose a denoising method under the powerful framework-non local means (NL-means), in conjunction with regression analysis. First, the conception and development of NL-means is proposed. Second, an image important area map (IIAM) is calculated for the protection of edge and structure regions during denoising. Therefore, improved version of NL-means is carried out, which uses a novel...
Knife Edge Scanning Microscopy (KESM) is a high-throughput imaging technique used to obtain large-scale anatomical information (≈1cm3) at sub-micrometer resolution. Data acquisition has been fully automated, however significant post-processing and reconstruction must be done manually. KESM is unique in that illumination and tissue sectioning are performed using a diamond knife. Therefore many of the...
Unsharp masking is a popular and simple technique for contrast enhancement and sharpening in digital images. The basic idea in this technique is to emphasize edges and discontinuities in the image by adding the edge information back to the original image. In order to achieve higher contrast level in the processed image, the edge information can be scaled prior addition to the original image. However,...
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.