Defocusing image ranging method and device based on edge spectrum reservation

Abstract

The invention provides a defocusing image ranging method and device based on edge spectrum reservation. The method comprises the following steps: S1, acquiring two images, with different defocusing degrees, of the same weak or non-surface texture sample; S2, carrying out noise reduction preprocessing on the images obtained in the step S1, separating the single target sample image according to theedge, and extracting a center and a minimum rectangular envelope of the single target sample image; S3, selecting a frequency spectrum range for representing the edge change of the target sample imagethrough a spectrum-based definition evaluation function; and S4, substituting the frequency spectrum range selected in the step S3 by adopting a Subbarao defocusing ranging method, and calculating anobject distance. According to the defocusing image ranging method and device, the weak or non-surface texture feature target can be effectively segmented, and target object depth calculation can be efficiently and accurately realized, so that the automatic level of identification positioning and automatic pickup of a weak or non-surface texture feature object can be effectively improved.

Description

technical field [0001] The invention relates to the fields of machine vision and image processing, in particular to a method and device for ranging a defocused image based on edge spectrum preservation. Background technique [0002] As one of the main poultry eggs, duck eggs are mainly used for processing and production, and are the main raw materials for preserved eggs, salted eggs and other egg products. Whether it is to increase the sales of fresh duck eggs or to process and produce salted eggs, preserved eggs and other egg products, if we want to achieve scale and automation, we must realize the identification, positioning and automatic picking of duck eggs. [0003] Active identification and positioning methods such as laser ranging mainly have the defects of complex equipment and high cost. However, the solution of multi-eye vision and mobile vision distance measurement has disadvantages such as low precision, high working environment requirements, and instability. ...

AI Technical Summary

Problems solved by technology

[0003] Active identification and positioning methods such as laser ranging mainly have the defects of complex equipment and high cost

However, the solution of multi-eye vision and mobile vision distance measurement has disadvantages such as low precision, high working environment requirements, and instability.

[0004] In the field of machine vision, defocused image ranging method may be considered as one of the feasible identification and positioning solutions, but this method has poor processing ability for weak or no surface texture features.

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