Content-Based Image Retrieval for Blood Cells

2009 ◽  
Author(s):  
Mohammad Reza Zare ◽  
Raja Noor Ainon ◽  
Woo Chaw Seng
Keyword(s):  
Image Retrieval ◽  
Blood Cells ◽  
Content Based Image Retrieval

scholarly journals CBIR SYSTEM USING COLOR HISTOGRAM AND WAVELET TRANSFORM FOR BLOOD CELLS IMAGES

2012 ◽  
pp. 8-11
Author(s):  
C. Rubina ◽  
S. Dasu
Keyword(s):  
Image Retrieval ◽  
Blood Cells ◽  
Color Histogram ◽  
Content Based Image Retrieval ◽  
Prototype System ◽  
Medical Field ◽  
Query Image ◽  
Cell Image ◽  
Current Content ◽  
Research Goal

The research in Content-based image retrieval is developing rapidly. It benefits many other fields, in particular the medical field as the need of having a better way of managing andretrieving digital images has increased.The aim of the thesis is to investigate performance of descriptors of blood cell image retrieval. In this process traditional wavelet based and global color histogram is investigated. The prototype system allows user to search by providing a query image and selecting one of four implemented methods. Research goal is enhancing current content-based image retrieval techniques. Results were obtained by experimenting to this proposed method is able to perform clinically relevant queries on image databases without user supervision.

FIXED CONTENT BASED IMAGE RETRIEVAL TECHNIQUE

2017 ◽  
Vol 5 (3) ◽  
pp. 54
Author(s):  
MOHAMMED ILIAS SHAIK ◽  
CHAUHAN DINESH ◽  
ESAPALLI SRINIVAS ◽  
PADIGE VINEETH ◽  
◽  
...  
Keyword(s):  
Image Retrieval ◽  
Content Based Image Retrieval ◽  
Retrieval Technique

Content Based Image Retrieval and Clustering: A Brief Survey

2009 ◽  
Vol 2 (3) ◽  
pp. 187-199 ◽  
Author(s):  
Huiyu Zhou ◽  
Abdul Sadka ◽  
Mohammad Swash ◽  
Jawid Azizi ◽  
Abubakar Umar
Keyword(s):  
Image Retrieval ◽  
Content Based Image Retrieval
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