This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
||||||||
|
Paper Details
Paper Title
Local Image Segmentation Process for salt-and-Pepper Noise Reduction by using Median Filters
Authors
  Ankit Kandpal,  Vishal Ramola
Abstract
There are various steps in image processing, which are used to improve visual standard of an image. Image segmentation is one of the most important step of them. The main objective of image segmentation is to extract various features of an image. This paper proposed the novel design of segmentation process for salt-and-pepper noise reduction by using median filters. The proposed design also describes the method for finding more median values in an image. The proposed structure has been designed and simulated on XILINX 8.1 tool in VHDL language.
Keywords- Median filter, Salt-and-Pepper noise, Image segmentation, Multilayer sorting
Publication Details
Unique Identification Number - IJEDR1502201Page Number(s) - 1216-1223Pubished in - Volume 3 | Issue 2 | May 2015DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Ankit Kandpal,  Vishal Ramola,   "Local Image Segmentation Process for salt-and-Pepper Noise Reduction by using Median Filters", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 2, pp.1216-1223, May 2015, Available at :http://www.ijedr.org/papers/IJEDR1502201.pdf
Article Preview
|
|
||||||
|