Automated Alert System for Drowsiness Detection Using Image Mining Techniques

By: S, Stephen Raj

Image mining is one of the growing field in all research domain. Various research work

is done in the research data. Image mining study is used to analyzing and detecting the

image data. Image mining is larger than an expansion of image domain. The various

branches of image mining are computer-vision, image-mining, image-acquisition, imageretrieval,

data-mining, machine-learning, database and artificial-intelligence.

Image mining techniques main key areas are image information extractions,

substance base image recovery, capture recovery, video chain study, adjust detection,

reproduction knowledge and object detection.

Image stored in numeric database and relational database. Primary storage space

capacity data is needs low storage space. Further image information is being gathered with

Standard statistics. There is extremely considerable knowledge of Image\picture

information that might be learn a new and understanding knowledge of images..

Image is pre-process image data within a figure of function of image mining.

Picture information is using in our everyday life like C-T image sets, Cardio-gram

image sets, MRI image sets, Mammogram image sets, X-ray image sets and Ultrasound

Image sets etc. These images occupy a large numbers of information is stored in various

place. Image mining might find out this image or object information's along with pattern of

images. Image mining is classified into double major guidelines image area.

• Format: Paperback
• Language: English
• ISBN: 320407353X
• ISBN13: 9783204073537
• Release Date: January 1970
• Publisher: A R Enterprises
• Length: 146 Pages
• Weight: 0.45 lbs.
• Dimensions: 0.3" x 6.0" x 9.0"