Neal R. Harvey

UTILITY OF MULTISPECTRAL IMAGING FOR ANALYSIS OF ROUTINE CLINICAL HISTOPATHOLOGY IMAGERY (2008)

Laura E. Boucheron, Neal R. Harvey, B. S. Manjunath

Our paper will present an analysis of the utility of multispectral imagery versus standard RGB imagery for routine H&Estained histopathology imagery, in particular for the classification of...

processing (2007)

Steven P. Brumby, Neal R. Harvey, Simon Perkins, Reid B. Porter, John J. Szymanski, James Theiler, ...

genetic algorithm for combining new and existing image

Investigation of Automated Feature Extraction Using Multiple Data Sources (2007)

Neal R. Harvey, Simon J. Perkins, Paul A. Pope, James Theiler, Nancy A. David, Reid B. Porter

An increasing number and variety of platforms are now capable of collecting remote sensing data over a particular scene. For many applications, the information available from any individual sensor...

Parallel (2007)

Neal R. Harvey, Steven P. Brumby, Simon J. Perkins, Reid B. Porter, James Theiler, A. Cody Young, ...

evolution of image processing tools for multispectral imagery

Utility of multispectral imaging for nuclear classification of routine clinical histopathology imagery (2007)

Boucheron, Laura E, Bi, Zhiqiang, Harvey, Neal R, Manjunath, BS, Rimm, David L

Abstract Background We present an analysis of the utility of multispectral versus standard RGB imagery for routine H&E stained histopathology images, in particular for pixel-level classification of...

D.L.: Utility of multispectral imaging for nuclear classification of clinical histopathology imagery. BMC Cell Biology 8(Suppl 1):S8 (2007)

Laura E. Boucheron, Zhiqiang Bi, Neal R. Harvey, B. S. Manjunath, David L. Rimm, David L. Rimm

Background: We present an analysis of the utility of multispectral versus standard RGB imagery for routine H&E stained histopathology images, in particular for pixel-level classification of...

Image Feature Extraction: GENIE vs Conventional Supervised Classification Techniques", accepted by IEEE Transactions on Geoscience and Remote Sensing (2002)

Neal R. Harvey, Steven P. Brumby, Simon Perkins, James Theiler, John J. Szymanski, J. Bloch, ...

Abstract — We have developed an automated feature detection/classification system, called Genie (GENetic Imagery Exploitation), which has been designed to generate image processing pipelines for a...

Comparison of GENIE and Conventional Supervised Classifiers for Multispectral Image Feature Extraction (2002)

Neal R. Harvey, James Theiler, Steven P. Brumby, Simon Perkins, John J. Szymanski, Jeffrey J. Bloch, ...

We have developed an automated feature detection /classification system, called GENetic Imagery Exploitation (GENIE), which has been designed to generate image processing pipelines for a variety of...

Support Vector Machines for Broad Area Feature Extraction (2001)

Simon Perkins, Neal R. Harvey, Steven P. Brumby, Kevin Lacker

Classification of broad area features in satellite imagery is one of the most important applications of remote sensing. It is often di#cult and time-consuming to develop classifiers by hand, so many...

GENIE: A Hybrid Genetic Algorithm for Feature Classification (2000)

Simon Perkins, James Theiler, Steven P. Brumby, Neal R. Harvey, Reid Porter, John J. Szymanski, ...

We consider the problem of pixel-by-pixel classification of a multi-spectral image using supervised learning. Conventional supervised classification techniques such as maximiun likelihood...

Finding golf courses: The ultra high tech approach (2000)

Neal R. Harvey, Simon Perkins, Steven P. Brumby, James Theiler, Reid B. Porter, A. Cody Young, ...

Abstract. The search for a suitable golf course is a very important issue in the travel plans of any modern manager. Modern management is also infamous for its penchant for high-tech gadgetry. Here...

Using Blocks of Skewers for Faster Computation of Pixel Purity Index (2000)

James Theiler, Dominique D. Lavenier, Neal R. Harvey, Simon J. Perkins, John J. Szymanski

The \pixel purity index" (PPI) algorithm proposed by Boardman, et al. 1 identi es potential endmember pixels in multispectral imagery. The algorithm generates a large number of \skewers"...

Using blocks of skewers for faster computation of Pixel Purity Index (2000)

James Theiler Dominique, Dominique D. Lavenier, Neal R. Harvey, Simon J. Perkins, John J. Szymanski

The \pixel purity index" (PPI) algorithm proposed by Boardman, et al. 1 identies potential endmember pixels in multispectral imagery. The algorithm generates a large number of \skewers"...

Evolving retrieval algorithms with a genetic programming scheme (1999)

James Theiler, Neal R. Harvey, Steven P. Brumby, John J. Szymanski, Steven Alferink, Simon Perkins, ...

The retrieval of scene properties (surface temperature, material type, vegetation health, etc.) from remotely sensed data is the ultimate goal of many earth observing satellites. The algorithms that...

Rank-order morphological filters: A new class of filters (1994)

Neal R. Harvey, Stephen Marshall

ABSTRACT--- A new class of morphological filter is presented, being a subclass of soft morphological filters and containing within it both the class of rank-order filters and the class of standard...