Mr. Zhong-he Huang Profile

Zhong-he Huang

at Univ of Shanghai for Science and Technology

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Publications (2)

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Proceedings Article | 28 January 2009 Paper

Research on the phase unwrapping theory of the surface roughness measurement system based on LabVIEW

Lei Zhong, Xiang-ning Li, Zhong-he Huang

Proceedings Volume 7156, 715621 (2009) https://doi.org/10.1117/12.806918

KEYWORDS: LabVIEW, Surface roughness, Image processing, Ceramics, Visualization, C++, Control systems, 3D image processing, Image analysis, Software development

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The roughness of the surface is an important parameter that reflects the quality of the object. Optical methods are the usual ways to measure the surface roughness including scattering method, speckle method, interferometric method and optical stylus method. But they are highly required the precision of the mechanism and they are not convenient to realize the automatic measurement. To improve the structure and the automatic performance, this surface roughness measurement system is based on the theory of two-dimensional phase unwrapping that is widely used in aerophotogrammetry. With the theory, the three dimensional data can be calculated from the images detected. The difference is that the image is captured by radar in aerophotogrammetrytly while it is got by using optical structure in this system. The images are got through the optical structure with the structured light. To control the phase of the light, the gratings is used in the system controlled by the piezoelectric ceramics. The phase information is contained in the image and captured by the CCD camera. To analyze the images captured through the optical system, the phase should be extracted from the images through complex operation to generate the phase map. The quality-guided algorithm is the main algorithm in this system. LabVIEW is the main software development environment and the massive calculation is accomplished in the dynamic linked library complied by Visual C++ to realize the image processing. Through the stereogram showed in the software we can clearly get the three dimensional information of the surface.

Proceedings Article | 28 January 2009 Paper

Density detection system of woven fabric with complex patterns

Zhong-he Huang, Xiang-ning Li, Lei Zhong

Proceedings Volume 7156, 715622 (2009) https://doi.org/10.1117/12.806920

KEYWORDS: Optical resolution, Image processing, Sensors, Image resolution, Cameras, Image sensors, Image quality, Light sources, Interfaces, Spectrum analysis

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Warp and weft density is commonly considered as one of the most important index for estimating the quality of fabrics. However, the detecting method adopted is basically base on manually counting. It is rather inefficient. This article demonstrates how to construct efficient system to achieve automatically detection. Fabric is first coupled into the image sensor by a specific optical system, whose resolution matching is carefully designed. And other component parameters are also well considered. What is more, the system contains a light source to provide uniformed illumination. A circuit board with camera module is constructed to perform the role of image processing platform. With amazingly agile performance provide by an ARM920T processor, and featuring an incredible breadth of peripheral interfaces, the platform is well suit for fabric density detection. The periodicity within the captured image furnishes convenience for analysis in frequency domain. After FFT the intensity peaks ranked orderly around the original point. However, the peaks in the spectrum are always blurred by severe interference whose form is usually an image or a pattern on the fabric. For this reason, a specific algorithm should be worked out to erode the peaks from the blurred edge to the center. Sometimes, the central peak is so severely blurred and the central peak is actually useless for us, a unique algorithm is employed to kick off the central peak. By this way, the position of the surround peaks can be easily located. And the density can also be easily worked out.

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