Enhancement of Bone Fracture Images by Equalization Methods

Autor:	N. Ravia Shabnam Parveen, M. Mohammed Sathik
Rok vydání:	2009
Předmět:	business.industry Computer science media_common.quotation_subject Equalization (audio) Histogram matching Image processing Histogram Median filter Contrast (vision) Computer vision Adaptive histogram equalization Artificial intelligence business Histogram equalization media_common
Zdroj:	2009 International Conference on Computer Technology and Development.
Popis:	A fracture is a crack or break in the bone. This can be easily detected by taking an X-ray in that area. But some times these images lack sufficient brightness. Various Equalization Methods can be adapted to enhance the image. In this paper, two such methods are compared. They are Histogram Equalization and Contrast Limited Adaptive Histogram Equalization. The results show that Contrast Limited Adaptive Histogram Equalization gives better result than other Equalization method.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::6fbb1ff2de9fefd7e17f7438880c3a7b https://doi.org/10.1109/icctd.2009.115 Zobrazit plný text záznamu