Image thresholding based on mutual recognition of histogram

For more effective image thresholding, a novel and simple method was proposed which based directly on the histogram of the image. According to the intuitive appearance of the histogram and the influence of peaks and valleys to final threshold, a new thresholding measurement is defined creatively. Accumulating mutual recognitions of all other histogram bins and combining some speeding-up strategies, the proposed measurement makes image thresholding more practicable and applicable. The number of segmentation is determined by the percentage of the final recognition value. As can be seen from the comparison with other methods in experiments, results of the proposed method looks better than other ones. Moreover, the objects are highlighted well in infrared image.