Image Processing Toolbox 6.4

Introduction

Image Processing Toolbox provides a comprehensive set of reference-standard algorithms and graphical tools for image processing, analysis, visualization, and algorithm development. You can restore noisy or degraded images, enhance images for improved intelligibility, extract features, analyze shapes and textures, and register two images. Most toolbox functions are written in the open MATLAB language, giving you the ability to inspect the algorithms, modify the source code, and create your own custom functions.

Image Processing Toolbox supports engineers and scientists in areas such as biometrics, remote sensing, surveillance, gene expression, microscopy, semiconductor testing, image sensor design, color science, and materials science. It also facilitates the learning and teaching of image processing techniques.

Key Features

• Image enhancement, including filtering, filter design, deblurring, and contrast enhancement
• Image analysis, including feature detection, morphology, segmentation, and measurement
• Spatial transformations and image registration
• Image transforms, including FFT, DCT, Radon, and fan-beam projection
• Support for multidimensional image processing
• Support for ICC version 4 color management system
• Modular interactive tools, including ROI selections, histograms, and distance measurements
• Interactive image and video display
• DICOM import and export

Images showing the results of algorithms for decorrelation stretching (top), line detection (center), and watershed-based segmentation (bottom) in Image Processing Toolbox. LANDSAT image of Montana courtesy of Space Imaging, LLC. Circuit image courtesy of MIT. Pears image courtesy of Corel. Click on image to see enlarged view.