An FPGA Based Coprocessor for GLCM and Haralick Texture Features and their Application in Prostate Cancer Classification
- 1 May 2005
- journal article
- Published by Springer Nature in Analog Integrated Circuits and Signal Processing
- Vol. 43 (2) , 205-215
- https://doi.org/10.1007/s10470-005-6793-2
Abstract
No abstract availableKeywords
This publication has 9 references indexed in Scilit:
- An FPGA Based Coprocessor For Calculating Grey Level Co-Occurrence MatrixPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2006
- An FPGA based co-processor for GLCM texture features measurementPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Image texture analysis of sonograms in chronic inflammations of thyroid glandUltrasound in Medicine & Biology, 2003
- A multispectral computer vision system for automatic grading of prostatic neoplasiaPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Comparison of texture analysis methods for the characterization of coronary plaques in intravascular ultrasound imagesComputerized Medical Imaging and Graphics, 2000
- Texture analysis of SAR sea ice imagery using gray level co-occurrence matricesIEEE Transactions on Geoscience and Remote Sensing, 1999
- An investigation of the textural characteristics associated with gray level cooccurrence matrix statistical parametersIEEE Transactions on Geoscience and Remote Sensing, 1995
- A Theoretical Comparison of Texture AlgorithmsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1980
- Textural Features for Image ClassificationIEEE Transactions on Systems, Man, and Cybernetics, 1973