Title :
A novel image binarization method using hybrid thresholding
Author :
Kuo, Tien-Ying ; Lai, Yun-Yang ; Lo, Yi-Chung
Author_Institution :
Dept of Electr. Eng., Nat. Taipei Univ. of Technol., Taipei, Taiwan
Abstract :
In this paper, we proposed a simple yet effective image binarization method to work with various kinds of images, such as images with the color bleeding characters, or with non-uniform background exposed to poor ambient light, and so forth. Our approach is based on a hybrid color quantization process, which adaptively takes the global and local image characteristics into account; therefore, it can deal with complex images. The experiment result shows that our proposed hybrid method outperforms the literature methods.
Keywords :
image colour analysis; image segmentation; hybrid color quantization process; hybrid thresholding; image binarization method; nonuniform background; Compounds; Feature extraction; Hemorrhaging; Image color analysis; Noise; Noise measurement; Pixel; Hybrid Thresholding; Image Binarization; Image Quantization;
Conference_Titel :
Multimedia and Expo (ICME), 2010 IEEE International Conference on
Conference_Location :
Suntec City
Print_ISBN :
978-1-4244-7491-2
DOI :
10.1109/ICME.2010.5583364