NDLI: The application of mathematical morphological optimization algorithm in edge detection of defected wood image

Content Provider	IEEE Xplore Digital Library
Author	Dawei Qi Yuanxiang Li Lei Yu
Copyright Year	2008
Description	Author affiliation: Coll. of Sci., Northeast Forestry Univ., Harbin (Dawei Qi; Yuanxiang Li; Lei Yu)
Abstract	Defected woods always influence wood processing. If they are not chosen precisely, the woods will be inferior in quality. In order to obtain contours and internal information of defected woods, they are detected. Images of them are processed for the scientific usage of woods and guarantee of the increasing using rate of woods. Mathematical morphology is a new subject established based on rigorous mathematical theories. In the basis of set theory, mathematical morphology is used in image processing, analysing and comprehending. It is a powerful tool in the geometric morphological analysis and description. Based on the study of mathematical morphology, a new mathematical morphological optimization algorithm is proposed, and it is used in edge detection of defected wood images. For the purpose of suppressing noises and being adapted to different edges of defected wood images, Structuring elements of smooth diamond are chosen appropriately. Mathematical morphological optimization algorithm is constructed by weight adding combination of erosion, dilation, opening and closing operations. The results of simulation in defected wood image processing demonstrate that the method performs better in noise-suppression and edge detection than conventional edge detection operations and morphological gradient method, which also verifies its feasibility and validity. It can be extendedly used in many other fields such as furniture market, security sector and timber manufacturing industry.
Starting Page	2271
Ending Page	2276
File Size	409593
Page Count	6
File Format	PDF
ISBN	9781424425020
DOI	10.1109/ICAL.2008.4636544
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-09-01
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Histograms Image edge detection Image processing Noise Gray-scale Wood nondestructive detection Morphological gradient Edge detection Mathematical morphology Optimization
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Edge detection of decayed wood image based on mathematical morphological double gradient algorithm

Noisy Image Edge Detection Using an Uninorm Fuzzy Morphological Gradient

An adaptive morphological edge detection algorithm based on image fusion

Segmentation of chromosome images by mathematical morphology

Improved Edge Detecting Algorithm Based on Mathematical Morphology

Application in Target Recognition Based on Gray System Theory and Mathematical Morphology Edge Detection

Research on Edge Detection of Gray-Scale Image Based on Mathematical Morphology Algorithm and Rough Sets

Application of omnidirectional structure element of mathematical morphology to wood computed tomography testing

A new morphological approach for noise removal cum edge detection.

The application of mathematical morphological optimization algorithm in edge detection of defected wood image

Similar Documents

Edge detection of decayed wood image based on mathematical morphological double gradient algorithm

Noisy Image Edge Detection Using an Uninorm Fuzzy Morphological Gradient

An adaptive morphological edge detection algorithm based on image fusion

Segmentation of chromosome images by mathematical morphology

Improved Edge Detecting Algorithm Based on Mathematical Morphology

Application in Target Recognition Based on Gray System Theory and Mathematical Morphology Edge Detection

Research on Edge Detection of Gray-Scale Image Based on Mathematical Morphology Algorithm and Rough Sets

Application of omnidirectional structure element of mathematical morphology to wood computed tomography testing

A new morphological approach for noise removal cum edge detection.

The application of mathematical morphological optimization algorithm in edge detection of defected wood image