Automatic text segmentation and text recognition for video indexing
Multimedia Systems
Building 3-D Visual Perception of a Mobile Robot Employing Extended Kalman Filter
Journal of Intelligent and Robotic Systems
RBF Neural Networks for Hand-Based Biometric Recognition
AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
Generative Development System for FPGA Processors with Active Components
FPL '01 Proceedings of the 11th International Conference on Field-Programmable Logic and Applications
Performance measure as feedback variable in image processing
EURASIP Journal on Applied Signal Processing
Identification of citrus disease using color texture features and discriminant analysis
Computers and Electronics in Agriculture
Learning-based robot vision: principles and applications
Learning-based robot vision: principles and applications
Orientation histograms for face recognition
ANNPR'06 Proceedings of the Second international conference on Artificial Neural Networks in Pattern Recognition
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From the Publisher:The Practical Handbook on Image Processing for ScientificApplications is a practical guide for the natural and technical sciences community in image processing. Students, practitioners, and researchers can gain immediate access to a sound basic knowledge of image processing by referencing general principles in the natural sciences. The handbook is organized according to the hierarchy of tasks required. Carefully selected algorithms are described in detail and demonstrated with real-world applications that show the reader how to solve complex image processing tasks.