Cover Image

Object detection using image processing techniques: coconut as a case study

Master of Science(Computer Engineering)

Saved in:
Bibliographic Details
Main Author: Haniza, Yazid
Other Authors: Assoc. Prof. Dr. Mohd Rizon Mohd Juhari
Format: Thesis
Language:English
Published: Kolej Universiti Kejuruteraan Utara Malaysia (KUKUM) 2019
Subjects:
Object detection
Image processing
Filter
Circular Hough Transform (CHT)
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/63410
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimap-63410
record_format dspace
spelling my.unimap-634102019-11-24T08:30:38Z Object detection using image processing techniques: coconut as a case study Haniza, Yazid Assoc. Prof. Dr. Mohd Rizon Mohd Juhari Object detection Image processing Filter Circular Hough Transform (CHT) Master of Science(Computer Engineering) The use of computers to analyze images has many potential but, the variability of the objects makes it a challenging task. In this thesis, the main idea is to detect an object (coconut) from an image. Several techniques have been utilized namely, the separable filter, Circular Hough Transform (CHT), chord intersection and moment invariant. Before applying these techniques, the preprocessing and image segmentation steps need to be performed in priori. Histogram equalization is utilized in preprocessing step meanwhile edge detection and morphological filtering have been employed in image segmentation step. Single object has been experimented to evaluate the two (2) techniques, CHT and the chord intersection. Based on the results obtained from single object detection, the CRT achieves higher percentage, 87.5% than chord intersection technique, 85%. For multiple objects detection, the CHT technique has been used and the highest detection for the first object is 87.5% followed by 92.5% for the second object, 77.5% for the third object and the last object is 67.5%. The moment invariant technique has been used to extract the shape of the object and detect its presence. From 50 images that have been experimented, 90% show positive result. This research can be adopted for climbing robotic system that can automatically pluck the coconut from a tree. Using image processing techniques, the gripping process will be easier and convenient than manual plucking. 2019-11-24T08:30:37Z 2019-11-24T08:30:37Z 2007 Thesis http://dspace.unimap.edu.my:80/xmlui/handle/123456789/63410 en Kolej Universiti Kejuruteraan Utara Malaysia (KUKUM) School of Computer and Communication Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Object detection
Image processing
Filter
Circular Hough Transform (CHT)
spellingShingle Object detection
Image processing
Filter
Circular Hough Transform (CHT)
Haniza, Yazid
Object detection using image processing techniques: coconut as a case study
description Master of Science(Computer Engineering)
author2 Assoc. Prof. Dr. Mohd Rizon Mohd Juhari
author_facet Assoc. Prof. Dr. Mohd Rizon Mohd Juhari
Haniza, Yazid
format Thesis
author Haniza, Yazid
author_sort Haniza, Yazid
title Object detection using image processing techniques: coconut as a case study
title_short Object detection using image processing techniques: coconut as a case study
title_full Object detection using image processing techniques: coconut as a case study
title_fullStr Object detection using image processing techniques: coconut as a case study
title_full_unstemmed Object detection using image processing techniques: coconut as a case study
title_sort object detection using image processing techniques: coconut as a case study
publisher Kolej Universiti Kejuruteraan Utara Malaysia (KUKUM)
publishDate 2019
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/63410
_version_ 1651868840244543488
score 13.222552

Similar Items