G. Dessbesell, M.A. Pacheco, J.B. dos S. Martins, R.F. Molz
{"title":"一种面积成本优化的快速并行标签分配VLSI架构","authors":"G. Dessbesell, M.A. Pacheco, J.B. dos S. Martins, R.F. Molz","doi":"10.1109/SPL.2007.371740","DOIUrl":null,"url":null,"abstract":"Connected components labeling is a commonly used procedure when performing image analysis and segmentation, as well as pattern recognition processing. The state-of-the-art approach, proposed by (S.-H. Yang et al., 2005), uses a parallel algorithm to achieve high speed operation. Based on it, an area and speed efficient VLSI architecture was designed. However, as the size of the input image increases, the area cost increases as well. This paper proposes an optimization for the method from (S.-H. Yang et al., 2005), achieving considerable area cost reduction, mainly when large images are considered. The area economy is accomplished by processing the input image in partitions of columns. This way, the higher the number of columns of the input image, the greater will be the area cost reduction.","PeriodicalId":419253,"journal":{"name":"2007 3rd Southern Conference on Programmable Logic","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An Area Cost Optimized Fast Parallel Label Assignment VLSI Architecture\",\"authors\":\"G. Dessbesell, M.A. Pacheco, J.B. dos S. Martins, R.F. Molz\",\"doi\":\"10.1109/SPL.2007.371740\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Connected components labeling is a commonly used procedure when performing image analysis and segmentation, as well as pattern recognition processing. The state-of-the-art approach, proposed by (S.-H. Yang et al., 2005), uses a parallel algorithm to achieve high speed operation. Based on it, an area and speed efficient VLSI architecture was designed. However, as the size of the input image increases, the area cost increases as well. This paper proposes an optimization for the method from (S.-H. Yang et al., 2005), achieving considerable area cost reduction, mainly when large images are considered. The area economy is accomplished by processing the input image in partitions of columns. This way, the higher the number of columns of the input image, the greater will be the area cost reduction.\",\"PeriodicalId\":419253,\"journal\":{\"name\":\"2007 3rd Southern Conference on Programmable Logic\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-06-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 3rd Southern Conference on Programmable Logic\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPL.2007.371740\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 3rd Southern Conference on Programmable Logic","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPL.2007.371740","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
在进行图像分析和分割以及模式识别处理时,连接组件标记是一种常用的程序。最先进的方法,由s.h。Yang et al., 2005)采用并行算法实现高速运算。在此基础上,设计了一种面积和速度高效的VLSI体系结构。然而,随着输入图像尺寸的增加,面积成本也会增加。本文从(s - h)对该方法进行了优化。Yang et al., 2005),实现了相当大的面积成本降低,主要是在考虑大图像时。区域经济是通过对输入图像进行分栏处理来实现的。这样,输入图像的列数越多,减少的面积成本就越大。
An Area Cost Optimized Fast Parallel Label Assignment VLSI Architecture
Connected components labeling is a commonly used procedure when performing image analysis and segmentation, as well as pattern recognition processing. The state-of-the-art approach, proposed by (S.-H. Yang et al., 2005), uses a parallel algorithm to achieve high speed operation. Based on it, an area and speed efficient VLSI architecture was designed. However, as the size of the input image increases, the area cost increases as well. This paper proposes an optimization for the method from (S.-H. Yang et al., 2005), achieving considerable area cost reduction, mainly when large images are considered. The area economy is accomplished by processing the input image in partitions of columns. This way, the higher the number of columns of the input image, the greater will be the area cost reduction.