Anterior Segment Image Acquisition, Analysis, Research And Implementation Of Filing System

Eyes are very important to our lives. Biologic parameters of anterior segment are criterions of determining whether the eye is sick or not. With the development of digital image processing, it is possible to capture, analyze and archive the anterior segment image by computer. Capturing the image and automatic analyzing of biologic parameters is useful for diagnosing illness, planning for cure and estimating the result, etc.The object of this paper is to design a system of capturing, analyzing and archiving the anterior segment image. Firstly, some modifications were made on the slit lamp in order to capture slit light micrographs of the human eyes. Secondly, the anterior segment image, which was acquired by the method of direct focal illumination, was analyzed automatically to give some physiological and pathological parameters. Then the slit light micrographs were transformed according to the DICOM standard. In this paper, some special work has been done in the aspects as follow: Some modifications were made on the slit lamp, including designing the photic channel and adding equipments for capturing image. Completed a sub-system to capture and review the anterior segment image. Based on the comparison of some classical edge detection operators, an improvement was made on the Canny's optimal edge detection operator for the image as the character of them. Designed a method to distinguish edges of the outside, intestine surface of the corneal and the anterior surface of the iris in the image. Some biologic parameters of anterior segment were given automatically by curve fitting. Studied on the storage standard of DICOM. And transformed the anterior segment image into the format of DICOM standard.The system, which had been designed, can be provided as an important diagnostic tool for the doctor in the clinic. It is convenient and practicable with good intercommunion. Because of the limitation of the hardware, the method needs to be proved in the practice more, the system must be perfected gradually before it can be used in the clinic application.