A Semi Automated Method for Identification of Arthritis Using Statistical Features
Main Article Content
Abstract
Arthritis is a kind of disorder which takes occurs in bone joints. The cause for the disease is unknown. This disease cannot be cured,
but can be controlled if it gets diagnosed at the earlier stage. Radiography is the conventional method followed for analysing the erosions
caused by arthritis. However analysing such images depends on the knowledge of the radiographer who analyse the image. A computer aided
analysis can be an alternate approach to the problem. One such method has been discussed in this paper. This method use the features
extracted from the digital x-ray image of the joint under study using Local Binary Pattern(LBP) and classifying them through Bayes classifier.
The specificity and the sensitivity produced by the algorithm are satisfactory.
Â
Keywords: Arthritis; Pattern recognition; Bayes classifier; Local Binary Pattern; Semi automated method
Downloads
Article Details
COPYRIGHT
Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
- The journal allows the author(s) to retain publishing rights without restrictions.
- The journal allows the author(s) to hold the copyright without restrictions.