干旱区生态环境知识资源中心(Arid): A Texture based Image Retrieval for Different Stages of Alzheimer's Disease

Arid

	A Texture based Image Retrieval for Different Stages of Alzheimer's Disease
	Vinutha, N.; Sandeep, S.; Kulkarni, Aditya N.; Shenoy, P. Deepa; Venugopal, K. R.
通讯作者	Vinutha, N (corresponding author), Bangalore Univ, Univ Visvesvaraya Coll Engn, Dept CSE, Bengaluru, India.
会议名称	IEEE 5th International Conference for Convergence in Technology (I2CT)
会议日期	MAR 29-31, 2019
会议地点	Pune, INDIA
英文摘要	In the last few years, using digital images have become significant across most of the sectors including healthcare and medical labs. To analyze and interpret the large collection of images having a complex disease pattern requires the knowledge of medical experts. So, the image retrieval technique plays an important role to assist the doctors to carefully examine an image of a new patient by comparing with most similar images existing in the database and also to take a correct decision during diagnosis. So, we carried out our studies by collecting the images of Magnetic Resonance Imaging (MRI) from the Open Access Series of Imaging Studies (OASIS) database. Later, we have categorized the collected MRI images into three different groups based on the size of a ventricular region of the brain and then employed second and higher order statistical methods to extract the textural features from each image. Thus, we obtain multiple textural features using Gray Level Co-occurrence Matrix (GLCM) and Law Texture Energy Measure. After obtaining the textural features, the top matched images are retrieved based on the similarity measure computed between the feature vector of a query image and the images present in the database. Finally, the retrieval performance is compared for the extracted texture features from GLCM, Laws Texture Energy Measure and a combination of these two methods. The combination of features from the above methods shows the better precision of 80% and 60 % in the retrieval of Group1 and Group3 images.
英文关键词	Alzheimer's Disease Content-based Image Retrieval Magnetic Resonance Imaging Textural Features
来源出版物	2019 IEEE 5TH INTERNATIONAL CONFERENCE FOR CONVERGENCE IN TECHNOLOGY (I2CT)
出版年	2019
ISBN	978-1-5386-8075-9
出版者	IEEE
类型	Proceedings Paper
语种	英语
收录类别	CPCI-S
WOS记录号	WOS:000560958400244
WOS关键词	TERNARY PATTERNS ; MRI
WOS类目	Engineering, Multidisciplinary
WOS研究方向	Engineering
资源类型	会议论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/370039
作者单位	[Vinutha, N.; Shenoy, P. Deepa] Bangalore Univ, Univ Visvesvaraya Coll Engn, Dept CSE, Bengaluru, India; [Sandeep, S.] Practo Technol Private Ltd, Bengaluru, India; [Kulkarni, Aditya N.] Infinera, Bengaluru, India; [Venugopal, K. R.] Bangalore Univ, Bengaluru, India
推荐引用方式 GB/T 7714	Vinutha, N.,Sandeep, S.,Kulkarni, Aditya N.,et al. A Texture based Image Retrieval for Different Stages of Alzheimer's Disease[C]:IEEE,2019.