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IMProVe 2011 - Proceedings

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Image Processing and Analysis<br />

carry out manually the edge dyeing procedure represents a bottleneck for the entire<br />

leather finishing process. As a consequence the development of an automated dyeing<br />

procedure is advisable. The main purpose of the present work is to describe a Machine<br />

Vision based system for automatically dyeing leather patch edges. Such a system<br />

comprises two main parts: a Machine Vision (MV) system devoted to leathers edge<br />

detection and a CNC painting pantograph (2 axis Cartesian robot) whose painting tool is<br />

moved according to the output of the MV apparatus. The developed system, tested on a<br />

prototype dyeing machine, proved to be effective in delivering high quality edge finishing.<br />

Keywords: Leather dyeing, Machine Vision, Process automation.<br />

Corresponding Author: Lapo Governi<br />

Tel.: +39-554796396<br />

Fax.: +39 -554796700<br />

e-mail: lapo.governi@unifi.it<br />

Address: via di Santa Marta, 3, 50139 Firenze.<br />

Automatic image-based car profile character line recognition<br />

M. Fiorentino (a), A. E. Uva (a), G. Monno (a)<br />

(a) Dipartimento di Ingegneria Meccanica e Gestionale, DiMEG, Politecnico di Bari<br />

Abstract:<br />

Purpose:<br />

This paper presents an automatic image based tool for character lines recognition of<br />

automotive profiles.<br />

Method:<br />

A novel Matlab program scans automotive pictures on the web recognizing the wheels<br />

and the main feature lines.<br />

Result:<br />

The system can scan a large dataset of existing or concept car models using image search<br />

engines.<br />

Discussion & Conclusion:<br />

Taking advantage of the formal topology of automotive profiles the wheels are used as<br />

main reference for character lines extraction. The algorithm detects wheelbase, roof,<br />

waist and accent line with a good level of confidence. The collected data can be used for<br />

statistical studies and to define the character of a car design.<br />

Keywords: Aesthetic design, character lines recognition, image processing, computer<br />

aided styling.<br />

Corresponding Author: Michele Fiorentino<br />

Tel.: 00390805962800<br />

Fax.: 00390805962777<br />

June 15 th – 17 th , <strong>2011</strong>, Venice, Italy<br />

67<br />

<strong>IMProVe</strong> <strong>2011</strong> - <strong>Proceedings</strong>

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