Applying swarm algorithms on unsupervised color image classification
Joint Authors
Safir, Khalid Muhammad
Ismail, Samahir Khalil
Source
Journal of Babylon University : Journal of Applied and Pure Sciences
Issue
Vol. 23, Issue 2 (30 Jun. 2015), pp.533-538, 6 p.
Publisher
Publication Date
2015-06-30
Country of Publication
Iraq
No. of Pages
6
Main Subjects
Topics
Abstract AR
خوارزميات التجميع (Clustering algorithms) تستخدم لحل مختلف مشاكل الصور مثل التصنيف قبل المعالجة (pre-processing)، التجزئة (segmentation)، استخراج أو استخلاص الميزات (feature extraction)، الحد من الأبعاد (dimensionality reduction)، إعادة عرض البيانات (data visualization) و أخيرا التصنيف (classification).
في هذا البحث تم التطرق لموضوع التصنيف حيث تم اخذ اثنين من خوارزميات التجميع (K-mean & PSO) و طبقت على مجموعة من الصور الملونة غير خاضعة للرقابة (Unsupervised) في مختلف المجالات منها صور أقمار صناعية و صور طبية و صور للطبيعة.
Abstract EN
Clustering algorithms are used as a solution for different image problem, such as pre-processing, segmentation, feature extraction, dimensionality reduction, data visualization, and final classification.
The one that proposed in this paper is the classification, so this work takes two clustering algorithm (k-mean & pso) then applying it on an unsupervised color images (satellite image, medicine image, natural image).
American Psychological Association (APA)
Safir, Khalid Muhammad& Ismail, Samahir Khalil. 2015. Applying swarm algorithms on unsupervised color image classification. Journal of Babylon University : Journal of Applied and Pure Sciences،Vol. 23, no. 2, pp.533-538.
https://search.emarefa.net/detail/BIM-581809
Modern Language Association (MLA)
Safir, Khalid Muhammad& Ismail, Samahir Khalil. Applying swarm algorithms on unsupervised color image classification. Journal of Babylon University : Journal of Applied and Pure Sciences Vol. 23, no. 2 (2015), pp.533-538.
https://search.emarefa.net/detail/BIM-581809
American Medical Association (AMA)
Safir, Khalid Muhammad& Ismail, Samahir Khalil. Applying swarm algorithms on unsupervised color image classification. Journal of Babylon University : Journal of Applied and Pure Sciences. 2015. Vol. 23, no. 2, pp.533-538.
https://search.emarefa.net/detail/BIM-581809
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 538
Record ID
BIM-581809
