Digital Image Processing and Analysis : Human and Computer by Scott E Umbaugh

By Scott E Umbaugh

Part I advent to electronic picture Processing and AnalysisDigital snapshot Processing and AnalysisOverviewImage research and computing device VisionImage Processing and Human VisionKey PointsExercisesReferencesFurther ReadingComputer Imaging SystemsImaging structures OverviewImage Formation and SensingCVIPtools SoftwareImage RepresentationKey PointsExercisesSupplementary ExercisesReferencesFurther ReadingSection II Digital Read more...

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electronic snapshot processing and research is a box that keeps to event speedy development, with a range of purposes starting from components equivalent to area exploration to the entertainment Read more...

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By Scott E Umbaugh

Part I advent to electronic picture Processing and AnalysisDigital snapshot Processing and AnalysisOverviewImage research and computing device VisionImage Processing and Human VisionKey PointsExercisesReferencesFurther ReadingComputer Imaging SystemsImaging structures OverviewImage Formation and SensingCVIPtools SoftwareImage RepresentationKey PointsExercisesSupplementary ExercisesReferencesFurther ReadingSection II Digital Read more...

summary:

electronic snapshot processing and research is a box that keeps to event speedy development, with a range of purposes starting from components equivalent to area exploration to the entertainment Read more...

Show description

Read or Download Digital Image Processing and Analysis : Human and Computer Vision Applications with CVIPtools, Second Edition PDF

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Extra resources for Digital Image Processing and Analysis : Human and Computer Vision Applications with CVIPtools, Second Edition

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The relationship of distance of the object in the world and the image plane is defined by the lens equation: 1 1 1 + = a b f where f is the focal length of the lens and is an intrinsic property of the lens, and a and b are the two distances in question. In this figure we see three rays of light shown; note that the one through the center of the lens goes straight through to the image plane, and, if the system is in focus, the other rays will meet at that point. 2-6. This equation can be derived by the property of similar triangles.

F − number = f Deffective Another important parameter of an imaging device is the field of view (FOV). The FOV is the amount of the scene that the imaging device actually “sees”; that is, the angle of the cone of directions from which the device will create the image. Note that the FOV depends not only on the focal length of the lens, but also on the size of the imaging sensor. 2-7, we can see that the FOV can be defined as ⎛d ⎞ FOV = 2 φ , where φ = tan −1 ⎜ 2 ⎟ ⎝ f⎠ with d being the diagonal size of the image sensor and f is the focal length of the lens.

Single imaging sensors are typically arranged in lines or in two-dimensional arrays. The line sensor is typically used in imaging applications that require a single line scan at a time, such as in manufacturing applications. With a line scanner speed and resolution can be increased, while cost is minimized. The array sensor is the primary type used in digital cameras, and the sensing element is typically a charge-coupled device (CCD) or a complementary metaloxide-semiconductor (CMOS) device. These devices are packaged in arrays of up to 9216 × 9216 elements, and continue to get larger as technology advances.

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