Optical principle embedded image analysis can effectively improve the accuracy of image recognition, but there is\na problem of low efficiency and high computational complexity. In view of the above problems, we design an\nimage fusion mechanism based on an optical embedded scheme. We have proposed the optical image space,\nwhich is a three-dimensional space coordinate system. Each sample point of the system represents a spot. Light\npoints in the image are described using three quantities, which are light intensity, image concentration, and light.\nAn embedded optical image analysis model is proposed. We use a mobile embedding scheme to map multiple\npoints of light into the same optical surface. Optical crowd block structure was proposed for increasing image data\nin an optical image system. The structure can improve the continuity of the image regions in different coordinate\nsystems. The mechanism of crowd fusion for mobile embedded images is proposed. The experimental results show\nthat the proposed mechanism is superior in the aspects of image recognition accuracy and algorithm execution\ncost.
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