Machine Learning in Medical Image Processing

Machine Learning in Image Processing

1GREYC, UMR CNRS 6072, ENSICAEN, Université de Caen Basse-Normandie, 6 Boulevard du Maréchal Juin, 14050 Caen cedex, France 2Pattern Recognition and Image Analysis Team, Computer Science Laboratory (LI), Université François Rabelais de Tours, 64 avenue Jean Portalis, 37200 Tours, France 3Models Images Vision (MIV) Team, Image Sciences, Computer Sciences and Remote Sensing Laboratory (LSIIT), Un...

Machine Learning Applications in Medical Image Analysis

Medical Image Classification by Supervised Machine Learning

In this paper, Support Vector Machine (SVM) was used to learn image feature characteristics for image classification. Several image visual features describe the shape, edge, and texture of image (including histogram, spatial layout, coherence moment and gabor features) have been employed in this paper to categorize the 500 test images into 46 classes. The result shows that the spatial relations...

Thermal Intro Row Weed Control Optimized Machine with Image Processing

Farming organic vegetable and crops have grown as a market desiring commodity. Weed control in farms has been costly and laborous and it has always been hard to achieve a proper weeding. A few chemicals are commonly applied in organic farming. Thermal weeding with flame burners seems a good solution; however, it has its own drawbacks, such as; damaging the main crops, low performance, being inf...

Thermal Intro Row Weed Control Optimized Machine with Image Processing

Farming organic vegetable and crops have grown as a market desiring commodity. Weed control in farms has been costly and laborous and it has always been hard to achieve a proper weeding. A few chemicals are commonly applied in organic farming. Thermal weeding with flame burners seems a good solution; however, it has its own drawbacks, such as; damaging the main crops, low performance, being inf...