Parallel Image Smoothing and Segmentation Algorithms Appropriate for VLSI Implementation

本文的研究主要集中在两个方面：(I)基于尺度空间和微分方程的图像分割方法的统一；(Ii)基于Gabor滤波和具有间断的能量函数的纹理分割。其目的是所产生的技术将最终适用于VLSI实现。(I)的目标是提供一个数学框架，在该框架内可以比较当前的许多图像分割方法。(Ii)的目标是建立一个基于Gabor滤波的能量函数纹理分割模型。滤镜之间的交互将允许系统处理纹理方向的缓慢变化，例如缩短中的偶发。

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.