How to create a Stored procedure of L ast-Chance thresholds is discussed also.

New Quick Segmentation Method of X-ray Images Based on Finding Optimum Thresholds;

This paper elaborates the different applications of text/photo separation in copiers, and puts forward a new effective and efficient method of doing T/P through selecting the optimum threshold of an image first, and then getting the counts of image pixels which traverse the threshold.

At last,the optimum threshold was calculated by watershed algorithm according to the envelop curve and then CR image was segmented quickly by calculated threshold that presents the feature of image.

It divides an image into several parts and each part uses an optimal threshold scheme.

In this article,we discuss optimal threshold base on phase correlation in frequency field.

Firstly marginal pixels are chosen that has the gray level which lie in the optimal threshold as the seed of growing process.

In order to improve the efficiency of image segmentation,OTSGA(optimal threshold selection based on genetic algorithm) is proposed as an optimal threshold searching method.

This paper simulates the image s gray level histogram with a series of Gaussian functions, and calculates the optimal thresholds between different neighboring Gaussian functions, and then separates the needed area from the whole image.

By analyzing the training algorithm,we derive the tuning formulas for searching optimal thresholds and network we.

Then it uses image division principle to seek the best threshold value a.

Every child image of the local regions is calculated,and the best threshold value of child image with the method of the biggist proportion of squase deviations is calculated.