Digital Image Processing, 2/E is a completely self-contained book. The A database containing images from the book and other educational sources. Digital image processing by Rafael C. Gonzalez, Richard E. Woods, 2nd Edition. Irfan jamil. Uploaded by. Irfan jamil. Loading Preview. Sorry, preview is. Digital Image Processing 2nd ed - roughnosecontdar.gqez - Free ebook download as PDF File .pdf) or read book online for free.
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Digital Image Processing-2nd Edition Rafael C. Gonzalez, Richard E. roughnosecontdar.gq - Ebook download as PDF File .pdf) or read book online. roughnosecontdar.gq: Digital Image Processing (2nd Edition) () by Rafael C. Gonzalez; Richard E. ISBN ISBN Digital Image Processing (2nd Edition): Rafael C. Gonzalez, Richard E. zoom_in ISBN / ISBN List Price: US$
Although the book is completely self-contained, a Companion Website see inside front cover provides additional support in the form of review material, answers to selected problems, laboratory project suggestions. A supplementary instructor's manual is available to instructors who have adopted the book for classroom use.
New Features New chapters on wavelets, image morphology, and color image processing. More than new images and over new line drawings and tables. A revision and update of all chapters, including topics such as segmentation by watersheds. Numerous new examples with processed images of higher resolution. A reorganization that allows the reader to get to the material on actual image processing much sooner than before.
Updated image compression standards and a new section on compression using wavelets. A more intuitive development of traditional topics such as image transforms and image restoration.
Updated bibliography. About the Author: Rafael C. About the Author: Rafael C. Gonzalez received the B.
He served as Chairman of the department from through He also founded Perceptics Corporation in and was its president until The last three years of this period were spent under a full-time employment contract with Westinghouse Corporation, who acquired the company in Under his direction, Perceptics became highly successful in image processing, computer vision, and laser disk storage technology.
In its initial ten years, Perceptics introduced a series of innovative products, including: The world's first commercially-available computer vision system for automatically reading the license plate on moving vehicles; a series of large-scale image processing and archiving systems used by the U.
Navy at six different manufacturing sites throughout the country to inspect the rocket motors of missiles in the Trident II Submarine Program; the market leading family of imaging boards for advanced Macintosh computers; and a line of trillion-byte laser disk products.
He is a frequent consultant to industry and government in the areas of pattern recognition, image processing, and machine learning.
Brooks Distinguished Professor Award. Dougherty Award for Excellence in Engineering in With this approach, foreground objects cannot always be made perfectly sharp, but the loss of sharpness in near objects may be acceptable if recognizability of distant objects is paramount.
Other authors such as Ansel Adams have taken the opposite position, maintaining that slight unsharpness in foreground objects is usually more disturbing than slight unsharpness in distant parts of a scene. For example, Focus stacking combines multiple images focused on different planes, resulting in an image with a greater or less, if so desired apparent depth of field than any of the individual source images.
Similarly, in order to reconstruct the 3-dimensional shape of an object, a depth map can be generated from multiple photographs with different depths of field. This method is called " shape from focus.
Therefore, the blue channel will have a greater depth of field than the other colours. The image processing identifies blurred regions in the red and green channels and in these regions copies the sharper edge data from the blue channel. The result is an image that combines the best features from the different f-numbers.
Diffraction and DOF[ edit ] Diffraction causes images to lose sharpness at high F-numbers, and hence limits the potential depth of field. However, diffraction is a greater issue in close-up photography, and the tradeoff between DOF and overall sharpness can become quite noticeable as photographers are trying to maximise depth of field with very small apertures.
Hansma's approach determines the f-number that will give the maximum possible sharpness; Peterson's approach determines the minimum f-number that will give the desired sharpness in the final image, and yields a maximum depth of field for which the desired sharpness can be achieved. Gibson , 64 gives a similar discussion, additionally considering blurring effects of camera lens aberrations, enlarging lens diffraction and aberrations, the negative emulsion, and the printing paper.
DOF scales[ edit ] Detail from the lens shown above. That lens includes distance scales in feet and meters; when a marked distance is set opposite the large white index mark, the focus is set to that distance.
The DOF scale below the distance scales includes markings on either side of the index that correspond to f-numbers. When the lens is set to a given f-number, the DOF extends between the distances that align with the f-number markings.