Attributes Of An Ideal Image Target Related Work

Improved performance: A distributed DBMS fragments the database to keep data closer to where it is needed most. This helps to avoid unnecessary data transfer.

Table I displays six solid binary images along with their corresponding compression ratios. On considering Run-Length coding, the alternative encoding scheme produces better performance than the other encoding scheme. On an average, the proposed algorithm performs well on comparison with the standard Huffman coding algorithm by approximately 1.58%.

The goal of the feature extraction and selection is to reduce the dimension of the data. In this experiment the dimension of the AVIRIS and HYDICE images reduced to 20 from 220 and 191 respectively using PCA. From the PCA analysis we can see that image of principal component 1 is brightest and sharpest than other PCA image which is illustrated in figure-2.

data through the cloud, consumers are able to see a more comprehensive view of their vitals,

Hospitals, Doctor offices, and many more use lots of different imaging methods daily to check on different parts of your body. From doing an X-ray to check on your bones, to a CT scan to check on the brain for hemorrhages, tumors, and atrophy. To an MRI is used to image soft tissues of the body like the heart and lungs (Timberlake, Karen p. 340). In this research paper, I will talk about 2 more different imaging methods and come more in depth with X-rays, CT scans, and MRI’s.

• Feature detection which is detecting a feature of interest on a reference image and a sensed image

delivers the data to any device that the user might be working with. We facilitate access

One of the ultrasound image analysis is segmentation process to obtain the fetal biometric measurement. According to [4], an automatic segmentation technique on

Abstract— Nowadays, with the increase in the dreadful diseases, huge amount of database is produced in hospitals and are exponentially increasing day by day. Utilizing these medical images after efficient classification plays a major role in case based reasoning and supports in clinical decision making. Therefore, it is important to classify these images and access them accurately. A modality classifier helps to classify the medical images based on the modality. In our study, we analyzed spatial and spectral features of Magnetic Resonance (MR) images and Computer Tomography (CT) scan and also the fusion of these features is performed. It is found that these modalities have different characteristics which help in classification. Initially, these images are preprocessing using the Median filter and spatial and spectral features were extracted and feature fusion is performed. The

In our latest testing we investigated NetApp’s ONTAP data management platform. The storage solution aims to simplify storing and moving data within an

The key driving forces behind mobile Cloud computing are that of the universal wireless network, declining storage costs, and continuous improvements in internet computing software. (Dikaiakos, Katsaros, Mehra, Pallis & Vakali, 2010, p.11). There are tremendous amounts of data contained within third party applications that could be of interest in forensics investigations. Data such as the social activities of

Low cost computing and storage devices not only used in business, but also increasingly in private homes.

Data platforms are digital databases that house, manage and organize data from a variety of different sources. Data platforms started to form due to the rise of “Big Data” in the early 2000s. Big Data are large volumes of structured and unstructured data. While paper methods were still acceptable for smaller data sets, large sets were becoming harder to handle. Thus, data platforms were formed to store data digitally on servers, rather than on paper.

With the development of technology, storing huge data is not the ultimate task of data administrators. They want users to have the ability to share data among multiple mobile devices. So, Couchbase Mobile is defined as NoSQL databases that is used in mobile. It delivers easy access to data either with a network connection or without it. Couchbase Mobile consists of three elements: Couchbase Sync Gateway, Couchbase Lite, and Couchbase Server (www.couchbase.com).

Thirdly, calculate the position of each object point in the images by applying a correlation algorithm with the use of a stochastic intensity pattern on the object surface.