Image processing and transaction (ieee)

  Image processing and transaction.docx (Size: 13.02 KB / Downloads: 34)
Image compression usually considers the minimization of storage space as its main objective. It is desirable, however, to code images so that we have the ability to process the resulting representation directly. In this thesis we explore an approach to document image compression that is efficient in both space (storage requirement) and time (processing flexibility). Image processing allows you to modify the appearance of an image by applying various types of filters, scaling options or transformations. The simplest type of processing is linear scaling. With linear scaling, one pixel from the source image is multiplied by a scale factor, and then an offset term is added. The original pixel value is then replaced with the resulting value. This process is repeated on each pixel in the image. Images account for a significant and growing fraction of web downloads. The traditional approach to transporting images uses tcp, which provides a generic reliable, in-order byte-stream abstraction, but which is overly restrictive for image data. We analyze the progression of image quality at the receiver with time and show that the in-order delivery abstraction provided by a tcp-based approach prevents the receiver application from processing and rendering portions of an image when they actually arrive. The end result is that an image is rendered in bursts interspersed with long idle times rather than smoothly.
System requirement specification:-
domain : image processing
software : operating system: windows xp platform:java
Data Mining
Data mining is the use of automated data analysis techniques to uncover previously undetected relationships among data items. Data mining often involves the analysis of data stored in a data warehouse. Three of the major data mining techniques are regression, classification and clustering.
1. IDENTIFYING INTERESTING VISITORS THROUGH WEB LOG CLASSIFICATION (IEEE)
Web mining is a popular technique for analyzing visitor activities in e-service systems. The ultimate goal of Web mining is to identify actionable information that can help, for example, acquire new customers, retain old customers, and grow customers’ profitability.
System Requirement Specification:-
DOMAIN : TRANSACTION ON DATA MINING
SOFTWARE : Operating System: Windows xp, Platform: JAVA,
HARDWARE : Processor: Pentium-IV, Speed: 1.8 GHZ , RAM: 512 MB, HDD: 80 GB