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Content-based image retrieval using feature extraction & statistical pattern recognition techniques for environmental applications
2008 Edition, June 1, 2008 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

The maximization of the effective use of the planetpsilas diminishing physical resources through the use of information resources seems to be one of the most significant mandates for the new century. The plethora and variety of environmental data (text, diagrams,...

A novel image retrieval model based on semantic information and probability rough set analysis method
2017 Edition, June 1, 2017 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Image Retrieval is one of the most active research areas in computer vision and pattern recognition. This paper presents an image retrieval technique based on semantic information and probability rough set analysis method to study uncertain...

A survey on face annotation techniques
2017 Edition, January 1, 2017 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Face annotation presents a challenging crisis in the field of image analysis and computer vision. Face annotation techniques are used for adding name to a facial image. It is also acknowledged a great deal of many applications in various fields. This paper...

An integrated approach to Content Based Image Retrieval
2014 Edition, September 1, 2014 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Content based image retrieval, in the last few years has received a wide attention. Content Based Image Retrieval (CBIR) basically is a technique to perform retrieval of the images from a large database which are similar...

Auto-annotation of tomato images based on ripeness and firmness classification for multimodal retrieval
2016 Edition, September 1, 2016 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

An interesting application of machine vision is quality estimation of tomatoes. Here, there is extensive availability of images that needs to be retrieved in an effective and efficient manner. In this paper, a classification based auto annotation (CBA) of tomato images...

Region based texture descriptor for content based medical image retrieval using second order moments
2015 Edition, March 1, 2015 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

The ever-increasing popularity of the use of larger-volume image database in various applications, it is an imperative to build an efficient retrieval system to browse through the entire database. Our approach relies on image feature that exploit texture...

Semi supervised soft label propagation algorithm for CBIR
2016 Edition, January 1, 2016 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

The increase popularity of using huge image databases in various image retrieval applications construct a need to develop an efficient and robust system provides the output in the form of similar images with respect to the input or query image. Also...

ASTM D7758-17 - Standard Practice for Passive Soil Gas Sampling in the Vadose Zone for Source Identification, Spatial Variability Assessment, Monitoring, and Vapor Intrusion Evaluations
June 1, 2017 - ASTM International

5.1 Passive soil gas samplers are a minimally invasive, easy-to-use technique in the field for identifying VOCs and SVOCs in the vadose zone. Similar to active soil gas and other field screening techniques, the simplicity and low cost of passive samplers enables them to...

A collocation of IRIS flower using neural network clustering tool in MATLAB
2016 Edition, January 1, 2016 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Background/Objectives: Organizing large amount of data is the biggest challenge in domains of data mining. One way to deal with these kind of issues is by grouping data taking into account the matter of group of files. Clustering is a widely used technique in data mining...

A new ensemble of features for breast cancer diagnosis
2015 Edition, May 1, 2015 - MIPRO Croatian Society

In this paper, an automatic Computer Aided Diagnosis (CAD) system is completely designed for breast cancer diagnosis and it is verified on a publicly available mammogram dataset constructed during Image Retrieval in Medical Applications (IRMA) project. This database...

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