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010   $a3-032-13285-1
024 7 $a10.1007/978-3-032-13285-7
035   $a(MiAaPQ)EBC32538072
035   $a(Au-PeEL)EBL32538072
035   $a(CKB)45246103500041
035   $a(OCoLC)1573150348
035   $a(DE-He213)978-3-032-13285-7
035   $a(EXLCZ)9945246103500041
100   $a20260206d2026      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aImage Processing with Python $eTheory, Practice, and Applications /$fby Erik Cuevas, Alma Nayeli Rodriguez-Vazquez, Beatriz A. Rivera-Aguilar, Jesús A. López-Luquín, Carlos Guzmán-Rosales
205   $a1st ed. 2026.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2026.
215   $a1 online resource (224 pages)
225 1 $aSignals and Communication Technology,$x1860-4870
311 08$a3-032-13284-3 
327   $aIntroduction -- Vision and Image Processing System -- Pixel Operations -- Spatial Filters -- Edges and Contours -- Corner Determination -- Detection of Lines and Curves -- Morphological Operations -- Conclusion.
330   $aThis book provides a comprehensive material tailored for students and professionals studying image processing. Designed to support both theoretical learning and practical implementation, the book covers a broad spectrum of essential topics in the field. These include foundational concepts such as pixel-level operations and geometric transformations, as well as advanced techniques like spatial filtering, image segmentation, edge detection, and color image processing. By integrating detailed explanations with practical examples, the book aims to equip readers with a deep understanding of image processing methods and their real-world applications, making it an invaluable guide for mastering the subject. Written with a teaching perspective, this book is designed to serve as a comprehensive textbook for undergraduate and postgraduate students specializing in Science, Electrical Engineering, or Computational Mathematics. Provides comprehensive coverage of theory and hands-on Python-based image processing techniques; Includes concepts such as pixel-level operations, geometric transformations, spatial filtering, and edge detection; Features a computational focus, ensuring an intuitive and hands-on learning experience.
410  0$aSignals and Communication Technology,$x1860-4870
606   $aSignal processing
606   $aComputer vision
606   $aTelecommunication
606   $aSignal, Speech and Image Processing
606   $aComputer Vision
606   $aCommunications Engineering, Networks
615  0$aSignal processing.
615  0$aComputer vision.
615  0$aTelecommunication.
615 14$aSignal, Speech and Image Processing.
615 24$aComputer Vision.
615 24$aCommunications Engineering, Networks.
676   $a621.382
700   $aCuevas$b Erik$0761169
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9911064903303321
996   $aImage Processing with Python$94546592
997   $aUNINA