Andere Kunden interessierten sich auch für
![Projected Outlier Detection For High-dimensional Data Streams]( "Projected Outlier Detection For High-dimensional Data Streams")
Projected Outlier Detection For High-dimensional Data Streams40,99 €![Outlier Detection Based On Clustering Over Sensed Data Using HADOOP]( "Outlier Detection Based On Clustering Over Sensed Data Using HADOOP")
Outlier Detection Based On Clustering Over Sensed Data Using HADOOP26,99 €![Outlier Analysis]( "Outlier Analysis")
Outlier Analysis64,99 €![Outlier and Anomaly Detection]( "Outlier and Anomaly Detection")
Outlier and Anomaly Detection35,99 €![Detecting Outliers: A Univariate Outlier and K-Means Approach]( "Detecting Outliers: A Univariate Outlier and K-Means Approach")
Detecting Outliers: A Univariate Outlier and K-Means Approach29,99 €![FORGERY DETECTION OF DIGITAL IMAGES]( "FORGERY DETECTION OF DIGITAL IMAGES")
FORGERY DETECTION OF DIGITAL IMAGES32,99 €![Software Effort Estimation using Outlier Elimination Methods]( "Software Effort Estimation using Outlier Elimination Methods")
Software Effort Estimation using Outlier Elimination Methods35,99 €
Image processing is a set of activities that perform several operations such as enhancement, segmentation, classification, and such other processes on an image, in order to extract useful information from it. Now-a-days the role of image processing is very vital in the fields of bio medical, geological, nano science, security related issues etc. Statistical methods have applications, in general, for analyzing quantitative, qualitative and diagrammatic information. Though the role of Statistical methods in digital image processing has been recognized by the research community, it is not yet exploited to the maximum extent. In this work applications of various statistical methods for studying images have been attempted.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.