Parallel Image Smoothing and Segmentation Algorithms Appropriate for VLSI Implementation

本研究集中在两个主要主题：（一）统一的 提出了一种基于尺度空间的图像分割方法， 微分方程，和（ii）纹理分割使用 Gabor滤波器和不连续能量函数。 是 预期所得到的技术将是适用的 用于VLSI实现。 （一）目标是提供一个 在这个数学框架内， 可以比较图像分割。 （二）目标是 devslop一个使用能量的纹理分割模型 函数方法与Gabor滤波器。 之间的相互作用 过滤器将允许系统处理缓慢变化的变化 在纹理的方向上，例如在透视中出现。

This research focuses on two main themes: (i) the unification of image segmentation methods in a framework based on scale space an differential equations, and (ii) the texture segmentation using Gabor filters and energy functions with discontinuities. It is intended that the resulting techniques will utimately be suitable for VLSI implementation. The goal of (i) is to provide a mathematical framework within which many current approaches to image segmenttion can be compared. The goal of (ii) is to devslop a model for texture segmentation using the energy function approach with Gabor filters. Interactions between filters will allow the system to deal with slowly varying changes in the orientation of textures, such as ocur in foreshortening.