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帮忙修改一段英文翻译，关于图像分割
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织物组织分析是进行织物仿样和改样的有效途径。提花织物的组织复杂多样，一般都是由若干种组织组合而成。组织识别分析系统的重要任务之一就是对提花织物图案轮廓进行提取，即织物组织区域的分割。图像分割的方法主要有两大类：基于轮廓的方法（边缘检测）和基于区域的方法。前者利用图像的不连续性检测物体的边缘轮廓，从而达到分割的目的；后者依据某种相似性判决标准，考察图像的相似程度，将图像的象素划分到不同的类中，形成不同的区域，最终得到分割结果。目前对织物疵点的检测及图像的分割主要有有限元分割法[1]和利用聚类的方法[2]，还有利用局部熵进行织物疵点检测[3]及使用wiener滤波器对织物图像分解提取特征值进行疵点检测的方法[4]。 It is an effective ways to carried out and changed the fabric spline by fabric weave analysis. As the complex of Jacquard’s fabric, it is normally a combination of several kinds of fabric. One of the important tasks of fabric identify and analyze system is to extract Jacquard Fabric’s pattern, that is, fabric weave segmentation based region. Image segmentation mainly include two categories: pattern-based method (edge detection) and region-based method. The former use the discontinuities of an image to detect outline of the object’s edges, so as to achieve the purpose of segmentation; the latter based on certain judgment criteria of similarity, studying similar degree of image, and dividing the image pixel into different categories, then forming different regions, obtaining segmentation results finally. Current fabric defect detection and image segmentation are mainly includes finite element segmentation, clustering methods, local entropy detection and use wiener filter to decompose and extract eigenvalue of fabric images for defect detection. |
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xinyunsina
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| Fabric weave analysis is an effective way to carry out and change the fabric spline. The Jacquard is normally compounded of several kinds of fabrics due to the complex of its form. One of the important tasks of fabric identifying and analyzing system is to extract Jacquard Fabric’s pattern, that is, fabric weave segmentation based region. Image segmentation mainly includes two categories: pattern-based method (edge detection) and region-based method. The former use the discontinuities of an image to detect outline of the object’s edges to achieve the purpose of segmentation; the latter bases on certain judgment criteria of similarity, studies similar degree of image, divides the image pixel into different categories, forms different regions, and then obtains segmentation results finally. Current fabric defect detection and image segmentation mainly includes finite element segmentation, clustering methods, local entropy detection and decomposing and extracting eigenvalue of fabric images for defect detection using wiener filter. |
2楼2009-03-18 09:38:36
xinyunsina
金虫 (小有名气)
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3楼2009-03-18 09:39:23