Title :
Enhancement of Radiograph Images Based on Chaos Optimization
Author_Institution :
Coll. of Comput. & Inf. Technol., Henan normal Univ., Xinxiang
Abstract :
How to select the parameters of high-frequency emphasis filtering (HFEF) in order to enhance radiograph images, this paper presents an enhancing method based on chaos optimization algorithms (COA). Based on the properties of ergodicity, stochastic property and regularity of chaos, the chaos optimization method can get global solution with low computational load. Firstly, an X-ray image is sharpened with HFEF, at the same time, the controllable and improved COA can optimize the parameters so that the optimal clarity of the image may be got, then the contrast of it is enhanced with histogram equalization to visually enhance the medical radiograph images to solve the questions: blurring and dark nature, which radiograph images generally tend to have. Experimental results show the proposed approach is effective and gets competitive visual effects.
Keywords :
chaos; diagnostic radiography; filtering theory; image enhancement; medical image processing; optimisation; statistical analysis; stochastic processes; X-ray image; chaos optimization algorithm; ergodicity; high-frequency emphasis filtering; histogram equalization; medical radiograph image enhancement; stochastic property; Biomedical imaging; Chaos; Filtering algorithms; Histograms; Optimal control; Optimization methods; Radio control; Radiography; Stochastic processes; X-ray imaging;
Conference_Titel :
Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-3893-8
Electronic_ISBN :
978-1-4244-3894-5
DOI :
10.1109/IWISA.2009.5072849
