header
Local cover image
Local cover image
Image from OpenLibrary

Unsupervised texture segmentation of Digital images / Mohammed Abdelfattah Abdelaziz Mohammed ; Supervised Ahmed Badr Eldin Khalil , Reda Abdulwahab Elkhoribi

By: Contributor(s): Language: Eng Publication details: Cairo : Mohammed Abdelfattah Abdelaziz Mohammed , 2008Description: 110Leaves : charts ; 30cmOther title:
  • التجزىء البنيوى الغير متحكم للصور الرقمية [Added title page title]
Subject(s): Online resources: Available additional physical forms:
  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty Of Science - Department Of Mathematics Summary: The goal of this thesis is develop an algorithm for unsupervised texture images segmentation.The segmentation of a texture image aims to labeling each texture in the input image by a different gray level.It can be classified as supervised and unsupervised segmentation according to the availability of texture prototypes
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Home library Call number Copy number Status Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.12.17.M.Sc.2008.Mo.U (Browse shelf(Opens below)) Not for loan 01010110048489000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.12.17.M.Sc.2008.Mo.U (Browse shelf(Opens below)) 48489.CD Not for loan 01020110048489000

Thesis (M.Sc.) - Cairo University - Faculty Of Science - Department Of Mathematics

The goal of this thesis is develop an algorithm for unsupervised texture images segmentation.The segmentation of a texture image aims to labeling each texture in the input image by a different gray level.It can be classified as supervised and unsupervised segmentation according to the availability of texture prototypes

Issued also as CD

There are no comments on this title.

to post a comment.

Click on an image to view it in the image viewer

Local cover image