Newmachine vision system and method

Abstract

The invention discloses a novel machine vision system and method, and the vision system adopts a Bumblebee binocular stereo vision system, and specifically comprises a CCD binocular camera, a PC, anda 1394 video collection card. The method comprises the following steps: S1, image acquisition; S2, image preprocessing; S3, feature point extraction and matching; S4, three-dimensional reconstruction.

Description

technical field [0001] The invention relates to machine vision, in particular to a new machine vision system and method. Background technique [0002] In recent years, with the scale, diversification and precision of agricultural production, the requirements for agricultural production operations have gradually increased. Many operations (such as the selection and picking of vegetables and fruits, and grafting of vegetables) are labor-intensive tasks. To meet the requirements of the season, ensuring the quality of work has become a key issue. Fruit picking is the most time-consuming and labor-intensive link in the fruit production chain. Picking operations are highly seasonal, labor-intensive, and expensive. Therefore, ensuring timely harvesting of fruits and reducing harvesting costs are important ways to increase agricultural income. [0003] Binocular stereo vision is an important form of machine vision. It is based on the principle of parallax and uses imaging equipmen...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the problem of low fruit recognition rate of fruit picking robots in the prior art, and provide a new machine vision system and method, using the Bumblebee binocular stereo vision system to perform image segmentation based on the differences in the color characteristics of mature fruits and plants. to identify ripe tomatoes

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