Digital Image Processing: Practical Approach [electronic resource] / by Borko Furht, Esad Akar, Whitney Angelica Andrews.

By: Furht, Borko [author.]Contributor(s): Akar, Esad | Andrews, Whitney AngelicaMaterial type: TextTextSeries: SpringerBriefs in Computer SciencePublisher: Cham : Springer International Publishing : Imprint: Springer, 2018Edition: 1st ed. 2018Description: VIII, 90 p. 104 illus., 95 illus. in color. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783319966342Subject(s): Optical data processing | Multimedia information systems | Image Processing and Computer Vision | Multimedia Information SystemsDDC classification: 006.6 | 006.37 LOC classification: TA1630-1650Online resources: Click here to access online Summary: The SpringerBrief covers fundamentals of digital image processing including image concept, image file formats, creating user interfaces and many practical examples of processing images using C++ and Java. These practical examples include among other creating image histograms, performing lossless image compression, detecting change in colors, similarity-based image retrieval and others. All practical examples are accompanied with an explanation how to create programs and the obtained results. This SpringerBrief can be very useful for the undergraduate courses on image processing, providing students with the basic tools in image analysis and processing. Practitioners and researchers working in this field will also find this research useful.
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Item type Current library Call number Status Date due Barcode Item holds
e-Books e-Books Central Library, Sikkim University
006.6 (Browse shelf(Opens below)) Not for loan E-3004
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The SpringerBrief covers fundamentals of digital image processing including image concept, image file formats, creating user interfaces and many practical examples of processing images using C++ and Java. These practical examples include among other creating image histograms, performing lossless image compression, detecting change in colors, similarity-based image retrieval and others. All practical examples are accompanied with an explanation how to create programs and the obtained results. This SpringerBrief can be very useful for the undergraduate courses on image processing, providing students with the basic tools in image analysis and processing. Practitioners and researchers working in this field will also find this research useful.

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