Endometrium characterization in connection with uterine contraction

The features of the endometrium are considered important factors in infertility treatment. This paper presents a new approach for estimating the endometrium based on a multiple threshold technique and a general mathematical method. The approach exploits gray-level information to organize and constrain the interpretation of the motion object by a recursive model. The recursive model is employed for threshold optimization of motion information segmentation. This is implemented by repeatedly shrinking the dimension of the maximum potential range of motion with an adaptive threshold throughout the whole process. The values to be estimated comprise motion frequency and thickness. The former is determined by change detection of the number of frame based changes in a sequence of images over a given time period with an appropriate sampling frequency. This can be achieved by a double-increment-of-sampling-frequency mechanism. The latter is the result of the motion object's dimension divided by its extended length. Experimental results indicate that it is possible to accurately estimate the thickness and motion frequency of the endometrium with the proposed algorithm.