Blood Test System (BTS)

Woo, Foong Hua (2007) Blood Test System (BTS). Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

Content Based Image Retrieval (CBIR) is the retrieval of images based on visual features such as color, texture, and shape. In many large image databases, traditional methods of image indexing, ranging from storing an image in the database and associating it with a keyword or number, to associating it with a categorized description, have proven to be insufficient, laborious, and extremely time consuming. Whereas in CBlR, each image that is stored in the database has its features extracted and compared to the features of the query image. With this theory, image database retrieval for Blood Test System (BTS), specifically on Hematology Test, is proposed. The purpose of developing the system is to create a useful software program that enables doctors to do blood test without sending to laboratories. It can read the query image (patient's blood sample) and retrieve the stored images from database by comparing features which is texture information extracted from the images themselves using wavelet transform approach. ln general, this system consists of two steps: Feature Extraction and Matching. Lastly, the stored images which have the most texture similarity with the query images will return to user. In this case, the blood sample image is used as the source of the subsequent task. At the same time, the system will also calculate the matching percentage. These processes will eventually replace the current manual microscopic work. BTS, an online application, will be developed using Microsoft Visual Studio 2005, Matlab and Microsoft SQL Server 2005 as database. The methodology used is Structures Systems Analysis and Design Method (SSADM), while database application is done under the guideline of Database Life Cycle (DBLC). The final output for this project is an online blood test system.

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