一种用于计算图像中轴变换的VLSI芯片

N. Ranganathan, K. B. Doreswamy
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引用次数: 8

摘要

我们描述了一种新的专用VLSI架构,用于计算图像的中轴变换。该架构是收缩式的,并且基于实现高度并行性的算法。该算法通过对图像进行4次距离变换进行2次扫描,在线性时间内计算出图像中多个目标的骨架。该算法被映射到简单处理元素(PE)的线性收缩阵列上,对于N/spl次/N的图像,该架构需要N个PE。整个阵列可以在单个VLSI芯片中实现。所提出的硬件可以在2.59毫秒内对512/spl次/512图像执行细化,在0.327毫秒内对256/spl次/256图像执行细化。设计并验证了实现该架构的CMOS VLSI原型芯片。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A VLSI chip for computing the medial axis transform of an image
We describe a new special purpose VLSI architecture for computing the medial axis transform of an image. The architecture is systolic and is based on an algorithm that achieves a high degree of parallelism. The proposed algorithm computes the skeleton of multiple objects in an image in linear time by making 2 scans over the 4 distance transform of the image. The algorithm is mapped onto a linear systolic array of simple processing elements (PEs) and for an N/spl times/N image, the architecture requires N PE's. The entire array can be realized in a single VLSI chip. The proposed hardware can perform thinning on a 512/spl times/512 image in 2.59 msec and on a 256/spl times/256 image in 0.327 msec. A prototype CMOS VLSI chip implementing the proposed architecture has been designed and verified.
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