Title :
Reduction of twin image in in-line digital holographic microscopy for biological cells´ observation by segmentation mask method
Author :
Zhou, Hao ; Gu, Jihua ; Chen, Daqing
Author_Institution :
Key Lab. of Modern Opt. Eng., Soochow Univ., Suzhou, China
Abstract :
During the reconstruction process of in-line digital holographic microscopic hologram, the main noise comes from the dispersed twin image. A segmentation mask method by selecting threshold value is introduced in order to reduce the disturbance. Experimental results show the satisfied effect by the proposed method.
Keywords :
biology computing; cellular biophysics; holography; image reconstruction; image segmentation; microscopy; biological cells observation; disturbance reduction; in-line digital holographic microscopic hologram; in-line digital holographic microscopy; reconstruction process; segmentation mask method; twin image reduction; Biological cells; Holography; Image reconstruction; Image segmentation; Microscopy; Optical microscopy; Optimized production technology; biological cells´ observation; digital holographic microscopy; segmentation mask;
Conference_Titel :
Image and Signal Processing (CISP), 2011 4th International Congress on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9304-3
DOI :
10.1109/CISP.2011.6100266
