In this unique text, the author focuses exclusively on image processing and treats medical images in a generic way to highlight the features that all digital images have in common. The book first introduces the main topics in image processing and as it progresses, you will discover relevant points of good practice. The author validates each technique with a corresponding case study, which originates from a published journal article. The case studies demonstrate how the concepts of image processing are applied to real-life situations, such as how to uncover information suffering from distortion and pixel-size limitations. The accompanying downloadable resources contain the Windows version of the ImageJ software, digital images, and documents to be used during the practical activities included in each chapter.
With its highly functional workbook approach, A Practical Approach to Medical Image Processing allows you to build your skills in image manipulation and to enjoy the benefits of this valuable field without having to code or develop your own program.
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