Endoscope camera and self-adaptive dynamic imaging method thereof

Abstract

The invention discloses an endoscope camera and a self-adaptive dynamic imaging method thereof. The self-adaptive dynamic imaging method comprises the following steps: continuously carrying out multi-region sampling on the brightness of an optical signal acquired by a sensing array of the endoscope camera; performing weighted calculation according to the sampling value of each sampling area to obtain a weighted photometric value corresponding to the whole sensing array; and adjusting an exposure parameter according to the weighted photometric value, so that the obtained image brightness is stabilized within a preset brightness value range. According to the method, the dynamic imaging effect of the endoscope camera can be improved.

Description

technical field [0001] The invention relates to the field of sensor technology, in particular to an endoscope camera and an adaptive dynamic imaging method thereof. Background technique [0002] CMOS (Complementary Metal-Oxide-Semiconductor), the Chinese name is Complementary Metal Oxide Semiconductor, which is an important technical branch of semiconductor manufacturing process. In recent years, CMOS technology has also been used to produce image sensors in digital photography, called CMOS image video sensors. Compared with CCD technology, which has monopolized this field for more than 30 years, it can better meet users' increasing quality requirements for new image sensors in various applications, such as more flexible image capture, higher sensitivity, wider Dynamic range, higher resolution, lower power consumption, and better system integration. [0003] In occasions where the size and weight of the imaging system are strictly required, it is necessary to use a tiny le...

AI Technical Summary

Problems solved by technology

The imaging of the electronic endoscope mainly relies on the LED light source supplement light technology, because in practical applications, there are great differences in the light reflectivity of the internal tissues of the human body, such as the fat layer, blood vessels, muscles and other tissues. Overexposure and underexposure occurred during imaging, which affected the doctor's identification of tissue during surgery

Although it is theoretically possible to control the brightness of the image by controlling the fill light, this control technology is completed after the exposure, and the brightness of the fill light is adjusted according to the exposure result. long, poor real-time performance

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