Strathprints logo
Strathprints Home | Open Access | Browse | Search | User area | Copyright | Help | Library Home | SUPrimo

Optimum non linear binary image restoration through linear grey-scale operations

Marshall, S. (2003) Optimum non linear binary image restoration through linear grey-scale operations. Journal of Electrical and Computer Engineering, 2 (2). pp. 93-102. ISSN 2090-0147

[img]
Preview
PDF
89020030202.pdf - Submitted Version

Download (314kB) | Preview

Abstract

Non-linear image processing operators give excellent results in a number of image processing tasks such as restoration and object recognition. However they are frequently excluded from use in solutions because the system designer does not wish to introduce additional hardware or algorithms and because their design can appear to be ad hoc. In practice the median filter is often used though it is rarely optimal. This paper explains how various non-linear image processing operators may be implemented on a basic linear image processing system using only convolution and thresholding operations. The paper is aimed at image processing system developers wishing to include some non-linear processing operators without introducing additional system capabilities such as extra hardware components or software toolboxes. It may also be of benefit to the interested reader wishing to learn more about non-linear operators and alternative methods of design and implementation. The non-linear tools include various components of mathematical morphology, median and weighted median operators and various order statistic filters. As well as describing novel algorithms for implementation within a linear system the paper also explains how the optimum filter parameters may be estimated for a given image processing task. This novel approach is based on the weight monotonic property and is a direct rather than iterated method.

Item type: Article
ID code: 38493
Keywords: binary image restoration , grayscale, non-linear control, Electrical engineering. Electronics Nuclear engineering, Computer Science(all), Signal Processing, Electrical and Electronic Engineering
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Depositing user: Pure Administrator
Date Deposited: 14 Mar 2012 10:40
Last modified: 26 Mar 2015 19:54
URI: http://strathprints.strath.ac.uk/id/eprint/38493

Actions (login required)

View Item View Item