Koji Komatsu

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Accurate identification of cell nuclei and their tracking using three dimensional (3D) microscopic images is a demanding task in many biological studies. Manual identification of nuclei centroids from images is an error-prone task, sometimes impossible to accomplish due to low contrast and the presence of noise. Nonetheless, only a few methods are available(More)
Automated nuclei detection and counting from higher dimensional fluorescence images is crucial for many biomedical applications. Common methods either use segmentation followed by centroid extraction or directly extract nuclei centroids. Although direct methods are desirable in order to avoid complex segmentation, most of these methods disregard the(More)
SUMMARY Various s t u d i e s are p r e s e n t l y b e i n g made on t h e f a c i a l image (e. g. , h i g h l y e f f i-c i e n t coding and t h e d i s c r i m i n a t i o n of f a c e s) f o r computer a n i m a t i o n and TV conference systems. T h i s p a p e r d e s c r i b e s a method i n which t h e three-dimensional (3-D) shape of t h e f a c e(More)
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