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Practical Image and Video Processing Using MATLAB® by Oge Marques

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LIST OF FIGURES

1.1 Image sharpening: (a) original image; (b) after sharpening.

1.2 Noise removal: (a) original (noisy) image; (b) after removing noise.

1.3 Deblurring: (a) original (blurry) image; (b) after removing the (motion) blur. Original image: courtesy of MathWorks.

1.4 Edge extraction: (a) original image; (b) after extracting its most relevant edges. Original image: courtesy of MathWorks.

1.5 Binarization: (a) original grayscale image; (b) after conversion to a black-and-white version. Original image: courtesy of MathWorks.

1.6 Blurring: (a) original image; (b) after blurring to remove unnecessary details. Original image: courtesy of MathWorks.

1.7 Contrast enhancement: (a) original image; (b) after histogram equalization to improve contrast.

1.8 Object segmentation and labeling: (a) original image; (b) after segmenting and labeling individual objects. Original image: courtesy of MathWorks.

1.9 Components of a digital image processing system. Adapted and redrawn from [Umb05].

1.10 Diagram of a machine vision system. Adapted and redrawn from [GW08].

1.11 Test image for the design of a machine vision system to read the label of the main integrated circuit on a printed circuit board.

1.12 (a) Test image for distance estimation: parallel lines with up to 5% difference in length. (b) Test image for area estimation: circles with up to 10% difference in radius. Both images are adapted and redrawn from [Jah05].

1.13 (a) Test image for texture-based object segmentation. (b) Test ...

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