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Digital Image Processing Practical Approach
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.
Publisher: Springer; 1st ed. 2018 edition (August 29, 2018)
Language: English
ISBN-10: 3319966332
ISBN-13: 978-3319966335
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| File Size | 14 megabytes |
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