TITLE

A Novel Approach for Edge Detection using Modified ACIES Filtering

AUTHOR(S)
Priya, P.Siva; Sarada, B.; Srinivas, G.; Eswar, P.
PUB. DATE
January 2014
SOURCE
International Journal on Recent Trends in Engineering & Technolo;Jan2014, Vol. 10 Issue 2, p212
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
The most important humiliating attribute of an image is noise, which may become obvious during image capturing, communication or processing and may conceivably be reliant on or sovereign of image. In order to supplement the high- frequency components in this paper we are proposing a new class of filter called ACIES filter which implies spatial filter shape that has a high positive component at the centre. Since restraint of noise can only be achieved by smoothing the image. Sharpening with ACIES filter highlights the fine details of an image and enhances the clarity of the image at the boundaries. Experimental results show that the concert of the proposed ACIES filter is acceptable and Quality of the consequent images is remarkably well even under the strongly noise-corrupted conditions. If the edges in an image can be recognized specifically, then all the objects in the image can be located and basic properties such as region, edge, and contour can be measured. The performance of the proposed approach is measured with image quality metrics such as PSNR, MSE, NAE and NK.
ACCESSION #
93738783

 

Related Articles

  • Design of Fuzzy Based Filter for Removal of Impulse Noise. Manivel, K.; Ravindran, R. Samson // Australian Journal of Basic & Applied Sciences;Jul2014, Vol. 8 Issue 10, p175 

    Background: Images and pictures are required as sources of information for analysis and interpretation in various fields such as medicine, remote sensing etc., These images are prone to impulse noise as a result of errors in the image acquisition or transmission process. Thus, the output image...

  • A region growing algorithm based on anisotropic filtering for image segmentation of the liver. Liu Lipeng; Sun Yongxiong; Huang Qiuyang; Yang Sen; Ma Yifei // Applied Mechanics & Materials;2014, Issue 644-650, p4303 

    According to the characteristics of the liver image and the shortcomings of the traditional region growing algorithm, a modified region growing algorithm is proposed based on the adaptive anisotropic filtering. The first, a anisotropic filtering algorithm is proposed based on adaptive...

  • Adaptive Noise Filtering of Image Sequences in Real Time. REZA, ALI M. // WSEAS Transaction on Systems;Apr2013, Vol. 12 Issue 4, p189 

    Filtering noise in image sequences is an important preprocessing task in many image processing applications, including but not limited to real-time x-ray image sequences obtained in angiography. The main objective in real-time noise filtering is to improve the quality of the resultant image...

  • Textured Image Denoising Using Dominant Neighborhood Structure. Khellah, Fakhry // Arabian Journal for Science & Engineering (Springer Science & Bu;May2014, Vol. 39 Issue 5, p3759 

    This paper presents a new technique to texture image denoising using windowed nonlocal means with dominant neighborhood structure. The proposed method mainly addresses the incurred high blurring when the windowed nonlocal means is applied to texture images corrupted by high noise levels. The...

  • Blind Single-Image Super Resolution Reconstruction with Gaussian Blur and Pepper & Salt Noise. Fengqing Qin; Lihong Zhu; Lilan Cao; Wanan Yang // Journal of Computers;Apr2014, Vol. 9 Issue 4, p896 

    To improve the spatial resolution of low resolution image with Gaussian blur and Pepper & salt noise, a blind single-image super resolution reconstruction method is proposed. In the low resolution imaging model, the Gaussian blur, down-sampling, as well as Pepper & Salt noise are all considered....

  • Analysis and Comparison of Filtering Techniques for Image Restoration. Savadatti, Manjunath // International Journal of Multidisciplinary Approach & Studies;Jan/Feb2015, Vol. 2 Issue 1, p123 

    Image restoration is an important issue in high-level image processing. Images are often degraded during the data acquisition process. The degradation may involve blurring, information loss due to sampling, quantization effects, and various sources of noise. The purpose of image restoration is...

  • An Improvement in Fuzzy Entropy Edge Detection for X-ray Imaging. WÓJTOWICZ, TOMASZ // Schedae Informaticae;2011, Vol. 20, p159 

    The following paper discusses the topic of edge detection in X-ray hand images. It criticises the existing solution by highlighting a design fault, which is a carelessly chosen function and then proposes a way to eliminate the fault by replacing it with a better suited function. The search for...

  • A Novel Pixon-Based Image Segmentation Process Using Fuzzy Filtering and Fuzzy C-mean Algorithm. Nadernejad, Ehsan; Barari, Amin // International Journal of Fuzzy Systems;Dec2011, Vol. 13 Issue 4, p350 

    Image segmentation, which is an important stage of many image processing algorithms, is the process of partitioning an image into nonintersecting regions, such that each region is homogeneous and the union of no two adjacent regions is homogeneous. This paper presents a novel pixon-based...

  • GLOBAL THRESHOLD AND REGION-BASED ACTIVE CONTOUR MODEL FOR ACCURATE IMAGE SEGMENTATION. Altarawneh, Nuseiba M.; Suhuai Luo; Regan, Brian; Changming Sun; Fucang Jia // Signal & Image Processing: An International Journal;Jun2014, Vol. 5 Issue 3, p1 

    In this contribution, we develop a novel global threshold-based active contour model. This model deploys a new edge-stopping function to control the direction of the evolution and to stop the evolving contour at weak or blurred edges. An implementation of the model requires the use of selective...

Share

Read the Article

Courtesy of THE LIBRARY OF VIRGINIA

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics