TY  - GEN
N2  - This book presents contributions in the field of computational intelligence for the purpose of image analysis. The chapters discuss how problems such as image segmentation, edge detection, face recognition, feature extraction, and image contrast enhancement can be solved using techniques such as genetic algorithms and particle swarm optimization. The contributions provide a multidimensional approach, and the book will be useful for researchers in computer science, electrical engineering, and information technology.
DO  - 10.1007/978-3-319-77625-5
DO  - doi
AB  - This book presents contributions in the field of computational intelligence for the purpose of image analysis. The chapters discuss how problems such as image segmentation, edge detection, face recognition, feature extraction, and image contrast enhancement can be solved using techniques such as genetic algorithms and particle swarm optimization. The contributions provide a multidimensional approach, and the book will be useful for researchers in computer science, electrical engineering, and information technology.
T1  - Hybrid metaheuristics for image analysis /
AU  - Bhattacharyya, Siddhartha,
CN  - TA1637
ID  - 856219
KW  - Image analysis.
KW  - Computational intelligence.
KW  - Metaheuristics.
KW  - Heuristic programming.
SN  - 9783319776255
SN  - 3319776258
TI  - Hybrid metaheuristics for image analysis /
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-77625-5
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-77625-5
ER  -