A DESCRIPTION METHOD FOR ARBITRARILY SHAPED AND SIZED GRANULES IN 2D IMAGE  

作　　者：Chen Ken Zhao Pan Zhao Xuemei 

机构地区：[1]College of Information Science and Engineering, Ningbo University, Ningbo 315211, China

出　　处：《Journal of Electronics(China)》2009年第3期423-427,共5页电子科学学刊（英文版）

基　　金：Supported by the Ningbo Natural Science Foundation (No.2006A610016)

摘　　要：An alternative method is proposed in this letter for describing the arbitrary shape and size for granules in 2D image.After image binarization, the edge points on contour are detected, by which the centroid of the shape in question is sought using the moment calculation.Using Principal Component Analysis(PCA), the major and minor diameters are computed.Based on the signature curve-fitting, the first-order derivative is taken so as to seek all the characteristic vertices.By connecting the vertices found, the simplified polygon is formed and utilized for shape and size descriptive purposes.The developed algorithm is run on two given real particle images, and the execution results indicate that the computed parameters can technically well describe the shape and size for the original particles, being able to provide a ready-to-use database for machine vision system to perform related data processing tasks.An alternative method is proposed in this letter for describing the arbitrary shape and size for granules in 2D image. After image binarization, the edge points on contour are detected, by which the centroid of the shape in question is sought using the moment calculation. Using Principal Component Analysis （PCA）, the major and minor diameters are computed. Based on the signature curve-fitting, the first-order derivative is taken so as to seek all the characteristic vertices. By connecting the vertices found, the simplified polygon is formed and utilized for shape and size descriptive purposes. The developed algorithm is run on two given real particle images, and the execution results indicate that the computed parameters can technically well describe the shape and size for the original particles, being able to provide a ready-to-use database for machine vision system to perform related data processing tasks.

关 键 词：Particle shape and size Granule image Shape descriptor Principal Component Analysis（PCA） Machine vision 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TP242.62[自动化与计算机技术—计算机科学与技术]