- Häftad (Paperback / softback)
- Antal sidor
- Packt Publishing Limited
- Black & white illustrations
- 234 x 190 x 27 mm
- Antal komponenter
- 403:B&W 7.5 x 9.25 in or 235 x 191 mm Perfect Bound on White w/Matte Lam
- 927 g
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Hands-On Image Processing with Python
Expert techniques for advanced image analysis and effective interpretation of image data
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Sandipan Dey is a data scientist with a wide range of interests, covering topics such as machine learning, deep learning, image processing, and computer vision. He has worked in numerous data science fields, working with recommender systems, predictive models for the events industry, sensor localization models, sentiment analysis, and device prognostics. He earned his master's degree in computer science from the University of Maryland, Baltimore County, and has published in a few IEEE Data Mining conferences and journals. He has earned certifications from 100+ MOOCs on data science, machine learning, deep learning, image processing, and related courses/specializations. He is a regular blogger on his blog (sandipanweb) and is a machine learning education enthusiast.
Table of Contents Getting started with Image Processing Sampling Fourier Transform Convolution and Frequency domain Filtering Image Enhancement Image Enhancement using Derivatives Morphological Image Processing Extracting Image Features and Descriptors Image Segmentation Classical Machine Learning Methods Learning in Image Processing - Image Classification with CNN Object Detection, Deep Segmentation and Transfer Learning Additional Problems in Image Processing