Image Thresholding Based on Two-Dimensional Arimoto Entropy
Cao Zhi · 2009
A thresholding technique is proposed based on two-dimensional Arimoto entropy.Firstly,a two-dimensional histogram is determined by the gray value and the local average gray value of the pixels.Then,the two-dimensional Arimoto entropy is obtained from the two-dimensional histogram.The pair of gray values which makes the two-dimensional Arimoto entropy largest is the thresholding.By introducing in a two-dimensional joint power-probability distribution,a fast algorithm is proposed.The fast algorithm speeds up the implementation and makes the method suitable to real-time systems.Experiments indicate that the thresholding method based on two-dimensional Arimoto entropy gives a steady performance and it is better than the methods based on Renyi entropy and Shannon entropy.