Lung Segmentation Of X-Ray Thorax Image Using Geometric Active Contour And Analysis Of Histogram Equalization Filtering
Abstract
So far, the observations of lungs from the X-ray image of the thorax have been done manually by a physician or radiologist, the results obtained are generally subjective. Therefore, it is needed to have medical aids that can provide an objectively better analysis and can be used in various areas, such as lungs mass screening (thorax). In this research, an application for segmenting lungs from the thorax x-ray image is developed using geometric active contour and analysis of histogram equalization filtering.
This study used 20 X-ray images of the chest cavity (thorax). Performance results of the test in the geometric active contour segmentation showed the sensitivity of 77.12%, accuracy of 95.88% and specificity of 98.85% for the right lung and the sensitivity of 81.09%, accuracy of 96.28% and specificity of 99.33% for the left lung.
Keywords
Full Text:
PDFDisclaimer/Regarding indexing issue:
We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.