Image Processing in Matlab. Perform Image Processing, Analysis, and Algorithm Development

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This book develops a set of reference-standard algorithms and workflow apps for image processing, analysis, visualization, and algorithm development. You can perform image segmentation, image enhancement, noise reduction, geometric transformations, image registration, and 3D image processing. Image Processing Toolbox apps let you automate common image processing workflows. You can interactively segment image data, compare image registration techniques, and batch-process large datasets. Visualization functions and apps let you explore images, 3D volumes, and videos; adjust contrast; create histograms; and manipulate regions of interest . You can accelerate your algorithms by running them on multicore processors and GPUs. Many toolbox functions support C/C++ code generation for desktop prototyping and embedded vision system deployment. The most important characteristics in Image Processing Toolbox are the following: - Image analysis, including segmentation, morphology, statistics, and measurement - Apps for image region analysis, image batch processing, and image registration - 3D image processing workflows, including visualization and segmentation - Image enhancement, filtering, geometric transformations, and deblurring algorithms - Intensity-based and non-rigid image registration methods - Support for CUDA-enabled NVIDIA GPUs (with Parallel Computing Toolbox) - C-code generation support for desktop prototyping and embedded vision system deployment