Irregular object volume measurement method based on Freeman chain code detection

Abstract

The invention discloses an irregular object volume measurement method based on Freeman chain code detection. A system is calibrated so as to acquire a pixel equivalent of the system; three CCD cameras are used for respectively acquiring original images of a to-be-measured object in an over-looking direction, a left-looking direction and a right-looking direction, and maximal peripheral length image coordinate parameters of the to-be-measured object are acquired via the over-looking image; based on the over-looking maximal length pixel number, measurement ranges corresponding to the left-looking image and the right-looking image are divided, a shape from shading method is used for calculating the height of each pixel point of the left-looking image and the right-looking image, a Freeman chain code is used for carrying out boundary detection on the left-looking image and the right-looking image respectively, coordinates of the boundary point are calculated, a Green formula is used for calculating the area surrounded by the boundary, the volume of the first layer is obtained through product between the area and the minimal height value, and the volume of the entire object is finally acquired according to the position of secondary small height value pixel points. The invention provides an accurate non-contact volume measurement method, the measurement speed can be quickened, and the production efficiency is improved.

Description

technical field [0001] The invention relates to a method for measuring the volume of irregular objects by using digital image processing technology, in particular to a method for measuring the volume of irregular objects based on Freeman chain code detection. Background technique [0002] In industrial production, some irregular objects need to measure their volume, such as on-line detection of industrial raw materials. With the development of measurement technology, the measurement environment of irregular objects is complex and changeable, and its methods are constantly innovating. [0003] The traditional method of measuring the volume of irregular objects is to manually measure its geometric shape with a tape measure. Although it is simple and easy to implement, it needs to sort out the observed objects. Manual on-site measurement has poor timeliness and low accuracy, making it difficult to achieve non-contact measurement. The measurement based on computer vision is to ...

AI Technical Summary

Problems solved by technology

Binocular or multi-eye vision measurement is to obtain the image information of the object from different angles. It is necessary to find the matching feature points between multiple images. Feature point matching is a difficult point in image processing, and it is also necessary to accurately fix the relative positions of multiple cameras. It also ensures the synchronization and stability of multiple cameras shooting, and it is difficult to realize the control. Therefore, the volume calculation operation using multiple images is complicated, the calculation amount is large, and it is not suitable for dynamic scenes and other problems.

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