Network Based Image Retrieval System Project
Design and implementation of a Network Based Image Retrieval System, which searches images from a large database in a network based on the image features such as color, texture and shape.
Network Based Image Retrieval System Abstract
Network Based Image Retrieval System is a computer-assisted system, which searches images from a large database in a network according to the image features such as color, texture and shape. It searches collection of images based on some features that can be extracted from the image data automatically . The central task in any image data management is to retrieve images that meet some specified constraints.
Image search requires……..
- Real-time image recognition capability.
- Can be used for any images Stamp, Satellite, Face, Infrared, X-ray, Color photos.
- In many areas of commerce, government, academia, and hospitals, large collection of digital images are being created. Many of these collections are the product of digitizing existing collections of analogue photographs, diagrams, drawings, painting, and prints. Usually, the only way of searching these collections was by keyword indexing, or simply by browsing. Digital image databases however, open the way to network-based searching. Compared to conventional image retrieval techniques that use indexing keywords to retrieve image files. It retrieves images on the basis of automatically derived features. This feature makes this technology useful in many areas such as crime prevention, medicine, architecture, fashion, publishing, etc.
Technology Used in Network Based Image Retrieval System Project
- Rational Rose
- Windows XP (SP2) Professional
- Java Environment
- Rational Rose
- Pentium IV 1.7 GHz
- 256 MB DDR SDRAM
- 40 GB ultra HDD 7200 RPM
- 15″ color monitor