Hybrid Soft Computing for Image Segmentation

Hybrid Soft Computing for Image Segmentation

This book proposes soft computing techniques for segmenting real-life images in applications such as image processing, image mining, video surveillance, and intelligent transportation systems. The book suggests hybrids deriving from three main approaches: fuzzy systems, primarily used for handling r...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή:	SpringerLink (Online service)
Άλλοι συγγραφείς:	Bhattacharyya, Siddhartha (Επιμελητής έκδοσης), Dutta, Paramartha (Επιμελητής έκδοσης), De, Sourav (Επιμελητής έκδοσης), Klepac, Goran (Επιμελητής έκδοσης)
Μορφή:	Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:	English
Έκδοση:	Cham : Springer International Publishing : Imprint: Springer, 2016.
Θέματα:	Computer science. Artificial intelligence. Computer graphics. Computational intelligence. Computer Science. Artificial Intelligence (incl. Robotics). Computational Intelligence. Computer Imaging, Vision, Pattern Recognition and Graphics.
Διαθέσιμο Online:	Full Text via HEAL-Link

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Machine Learning in Medical Imaging 4th International Workshop, MLMI 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013. Proceedings /
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Machine Learning in Medical Imaging Third International Workshop, MLMI 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012, Revised Selected Papers /
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