Title

Shape from Focus Image Processing Approach Based 3D Model Construction of Machined Part

Poster Number

9

Lead Author Affiliation

Mechanical Engineering

Introduction

Machine vision systems are an important part of any manufacturing process. If a system could be devised that would measure machined parts using a camera, it could speed up the production process as well as ensure that parts are machined accurately.

Purpose

The purpose of this research is to develop a machine vision system using a single camera and a MATLAB contrast based image processing software to create a 3D model of a machined part.

Method

A camera is positioned at various heights above an object with the use of a CNC machine and several images are taken until the whole object has passed through the focal plane of the camera and has been photographed. These images are processed in MATLAB with a contrast based algorithm that determines which pixels are in focus. The in focus pixels along with position information are used to create a surface plot or 3D model of the object. Dimensions are taken of the model of the part and then compared to the actual physical dimensions of the part.

Results

In progress

Significance

If successful this could be used as a proof of concept that a machine vision system could be further developed in order to save costs and verify part accuracy in the manufacturing world.

Location

DeRosa University Center, Stockton campus, University of the Pacific

Format

Poster Presentation

This document is currently not available here.

Share

COinS
 
Apr 25th, 10:00 AM Apr 25th, 12:00 PM

Shape from Focus Image Processing Approach Based 3D Model Construction of Machined Part

DeRosa University Center, Stockton campus, University of the Pacific

Machine vision systems are an important part of any manufacturing process. If a system could be devised that would measure machined parts using a camera, it could speed up the production process as well as ensure that parts are machined accurately.