Low-contrast microscopic image enhancement based on multi-technology fusion
Weidong Chen, Xue-Gang Mao, Haoge Ma · 2010
For the phenomenon of low image contrast usually appearing in scanning electron microscope images, a low contrast microscopic image enhancement algorithm based on multi-technology fusion was proposed, in which the high frequency and low frequency components of images are separated to avoid the increased image noise, while the images was strengthened. Furthermore, the low contrast microscopic image enhancement was realized combining with Sobel operator, LoG operator and improved contrast limited adaptive histogram equalization method. Experimental results show that the proposed method highlights the image edges and details effectively, which can expand the dynamic grayscale range of image, increase the image contrast and entropy so lay the foundation for the microscopic image analysis and identification.