The display technology on the retina is the key role in inspecting the condition of the patients. Especially, silt lamp biomicroscope is one of the important tools to inspect the patient's retina, because the slit lamp biomicroscope, the workhorse for ophthalmic diagnosis and treatment, is far more ubiquitous, and is now often equipped with video attachments to permit image capture for documentation, storage, and transmission. In many cases, image quality may be, in part, attributable to a narrow field of view and specular reflections arising from the cornea and sclera. In this paper, we have real time extraction of the feature of retina image portion and then edges of blood vessel in retina images are detected. Based on the edges of the retina images, every image is assembled for more wide image. The developed algorithms allowed for highly accurate alignment and blending of partially overlapping slit lamp biomicroscopic fundus images to generate a seamless, high quality and wide field image. Therefore we verified the possibility that video image were acquisition and processing algorithms for mosaicking and enhancement of slit lamp biomicroscopic fundus images. The improved quality and wide field of view may confer for inexpensive, real time photo-documentation of retina abnormalities.