Content Base Image Retrival For Blood Cell
Application
International journal on Recent trends in Engineering and technology, 6 (2):
3 (November 2011)Abstract
In case of large image database, text based image
retrieval is proven to be insufficient. For large data base
assigning the labels to each image using text is extremely
time consuming. It is applicable for only one language at a
time. Different users can assign different labels to the same
image. To overcome these drawbacks, content based image
retrieval method is used. There are two types of features i.e.
High level features and Low level features. These features
are nothing but the actual contents present in that image.
Extracting these features image can be retrieved. In some
cases, one feature is insufficient to retrieve the proper image.
Hence a new method is proposed which uses feature i.e. color
to retrieve the images. For low level feature color, RGB space
is converted into HSV space for getting the better results.