Abstract:

In order to overcome the weak adaptability and the difficulty in selecting the adaptive threshold of the traditional image binarization and to improve the reliability lacking in the traditional single evaluation of image seg- mentation, an image binarization method based on pulse-coupled neural network （PCNN） is investigated, and the corresponding parameters are selected. Afterwards, a composite segmentation evaluation method comprehensively considering various evaluation criteria is proposed. Experimental results show that the PCNN-based image binariza- tion method is of high accuracy and is suitable for the segmentation of varied images, and that, as compared with the traditional single evaluation methods, the proposed composite method can evaluates the performances of segmen- tation algorithms more objectively and accurately.

Key words: pulse-couple neural network, binarization algorithm, image segmentation, evaluation criteria