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Natural Therapy Advisory System based on Fusion of Image Processing and Text Processing

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
A. M. Ali, A. E. Amin, A. F. Abdo

A M Ali, A E Amin and A F Abdo. Natural Therapy Advisory System based on Fusion of Image Processing and Text Processing. International Journal of Computer Applications 154(10):1-6, November 2016. BibTeX

	author = {A. M. Ali and A. E. Amin and A. F. Abdo},
	title = {Natural Therapy Advisory System based on Fusion of Image Processing and Text Processing},
	journal = {International Journal of Computer Applications},
	issue_date = {November 2016},
	volume = {154},
	number = {10},
	month = {Nov},
	year = {2016},
	issn = {0975-8887},
	pages = {1-6},
	numpages = {6},
	url = {},
	doi = {10.5120/ijca2016912231},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


This paper presents an advisory system that helps those in charge of cases of physical therapy in order to a diagnosis of patients and providing appropriate treatment steps for each case. The proposed system consists of three main stages namely image processing, text processing and advisory system. Each of these stages is contributed as the following:

Image processing stage is used two algorithms to achieved its task, the first is Gray-Level Co-Occurrence Matrix (GLCM) algorithm to extract the features from x-ray images and the second is KNN algorithm to classified the images features, then stored in a database.

Text processing stage is used to convert the text report corresponding to an image to automated reports. This occurs through several steps like preprocessing, tokenization, stop responding word filtering, and count frequency.

Lastly, the advisory system is consists of two parts, a knowledge base is built by expert man that helps to extract the rules from databases of image and text. The second part is inference engine that executes the matching between query rule and knowledge base.

The results of this paper are so convincing, where the proposed system is applied on several patients and the extracted of cure reports are satisfied to experts in the field.


  1. Sonya Eini and Abdolah Chalechale,"Shape Retrieval Using Smallest Rectangle Centroid Distance", International Journal of Signal Processing, Image Processing and Pattern Recognition, 2013, PP. 61-68.
  2. André Aichert, Feature extraction techniques, CAMP MEDICAL SEMINAR WS0708,2008,PP. 1-8.
  3. P. Mohanaiah, P. Sathyanarayana, L. GuruKumar, Image Texture Feature Extraction Using GLCMApproach, International Journal of Scientific and Research Publications, Volume 3, Issue 5, May 2013,PP. 1-5.
  4. ChitwanBhalla Surbhi Gupta, A Review on Splicing Image Forgery Detection Techniques, IRACST - International Journal of Computer Science and Information Technology & Security (IJCSITS), Vol.6, No.2, Mar-April 2016, ISSN: 2249-9555.
  5. A.Ramesh Kumar, D.Saravanan, Content Based Image Retrieval Using ColorHistogram, A.Ramesh Kumar et al, (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 4 (2) , 2013, 242 – 245.
  6. S. Yan, X. Xu, D. Xu, S. Lin, and X. Li. Beyond spatial pyramids: A new feature extraction framework with dense spatial sampling for image classification. In Proc. ECCV, 2012 , pages 473–487.
  7. Md. Khalid Imam Rahmani1 and Naina Pal, Kamiya Arora, Clustering of Image Data Using K-Means and Fuzzy K-Means, (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 5, No. 7, 2014, PP.160-163.
  8. Feilong Cao, BoLiu and Dong Sun Park., " Image classification based on effective extreme learning machine", Neurocomputing, Vol.102, 2013, PP. 90–97.
  9. Samar M. Alqhtani, Suhuai Luo and Brian Regan, FUSING TEXT AND IMAGE FOR EVENTDETECTION IN TWITTER, The International Journal of Multimedia & Its Applications (IJMA) Vol.7, No.1, February 2015,PP. 27-35.


Image processing, Text processing, Advisory system