A method for automatically sensing image changes in microscopic cameras

Abstract

The invention discloses an image change automatic sensing focusing method for a microscopic camera, comprising the following steps: defining various scene states according to the change state of image brightness and image evaluation function value; monitoring the image brightness and image evaluation function of the current scene The real-time changes of the value, according to the real-time changes of the image brightness and the image evaluation function value, determine the scene state of the current scene, and adopt the focus monitoring strategy corresponding to the scene state according to the scene state, and the focus monitoring strategy includes: waiting for the image The brightness and / or image evaluation function value returns to stability, and enters a single focusing process; performs a single focusing process based on the hill-climbing search method to determine the best focusing position. The image change automatic sensing focusing method can automatically adopt different focusing strategies according to different focusing scenes, so as to improve focusing accuracy.

Description

technical field [0001] The invention belongs to the technical field of microscopic camera auto-focusing, and in particular relates to an image change automatic sensing focusing method for a microscopic camera. Background technique [0002] Autofocus technology is a technology that uses modern microelectronics technology, digital image processing technology and mechanical control methods to digitally evaluate the clarity of the target scene, replace manual focus with automatic focus, and finally make the system a clear imaging technology. Autofocus technology is widely used in machine vision, military, security monitoring, smart phones and other fields, and has gradually developed into a complex technology integrating light, mechanics, electricity and computing. [0003] The early autofocus methods include ranging method and focusing method. Among them, the ranging method includes ultrasonic ranging method, infrared ranging method, laser ranging method and triangular ranging...

AI Technical Summary

Problems solved by technology

There are certain limitations in the hill-climbing search method: noise interference causes local peaks in the evaluation function curve, resulting in misfocusing

[0007] The above-mentioned methods are all single-shot focusing methods. The disadvantage is that after the scene changes, manual operation is required to achieve focusing.

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