David L. McCubbrey

The cytocomputer: A practical pipelined image processor

This paper presents a new architecture for image processing. It consists of a pipeline of identical programmable serial processing stages, referred to as a cytocomputer. Comparisons are made between cytocomputer and parallel array systems. Cytocomputer systems are shown generally to possess the advantages of lower complexity, high bandwidth and greater architectural flexibility. A first generation system is described and examples of processing are illustrated. Finally, current development efforts are described.

Applying iconic processing in machine vision

Shape-based (iconic) approaches play a vital role in the early stages of a computer vision system. Many computer vision applications require only 2-D information about objects. These applications allow the use of techniques that emphasize pictorial or iconic features. In this chapter we present an iconic approach using morphological image processing as a tool for analyzing images to recover 2-D information. We also briefly discuss a special architecture that allows very fast implementation of morphological operators to recover useful information in diverse applications. We demonstrate the efficacy of this approach by presenting details of an application. We show that the iconic approach offers features that could simplify many tasks in machine vision systems.

Determination of bake time and temperature of painted plastic using mathematical morphology and neural networks

This paper discusses a new automated image analysis technique for inspecting and monitoring changes in plastic bumper surfaces during the paint-baking process. This new technique produces excellent performance, and is appropriate for on-line production monitoring as well as laboratory analysis. The objective of this work was to develop an accurate method for determining the paint bake time and temperature at which parts had been treated. This task was accomplished using mathematical morphology to extract differentiating features from samples collected at three magnifications and sending these feature-vectors to a back-propagation neural network for classification.

Cytocomputer Signal Processing Concepts For Industrial Technology

A set of logical and algebraic image operations is introduced. These image operators include operators for binary, silhouette, and grey-scale imagery. Simple illustrations of these image operators are given. Examples of industrial inspection and robotic visual feedback problems are considered. Results of object identification and defect locations obtained using these image operations are presented.