Segmentation and clustering for color image

Dissertant

al-Dabbas, Maisaa Abd Ali Khidr

University

University of Technology

Faculty

-

Department

Computer Sciences Department

University Country

Iraq

Degree

Master

Degree Date

2004

English Abstract

Vision systems employing region segmentation by color are crucial in real-sine mobile robot applications, such as Robocop, or other domains where Execration with humans or a dynamic world is required.

Traditionally, systems ; Employing real-time color-based segmentation are either implemented in drawer, or as very specific software systems that take advantage of domain knowledge to attain the necessary efficiency.

However, careful attention to algorithm efficiency, fast color image ^segmentation can be accomplished using commodity image capture and CPU hardware.

In this work a system capable of tracking several hundred regions of up -j to 32 colors at 30 Hertz is operated on general purpose commodity hardware.

The software system is composed of four main parts ; a novel implementation of a threshold classifier, a merging system to form regions through connected components, a separation and sorting system that gathers various region features, and a top down merging heuristic to approximate perceptual grouping.

A key to the efficiency of our approach is a new method for accomplishing.

Space thresholding that enables a pixel to be classified into one or more of up 32 colors using only two logical AND operations

Main Subjects

Information Technology and Computer Science

Topics

• Computer software
• Digital electronics

• APA
• MLA
• AMA

Language

English

Data Type

Arab Theses

Record ID

BIM-305520