Fundamentals of Electronic Image Processing by Arthur R. Weeks Jr

By Arthur R. Weeks Jr

This booklet is directed to practising engineers and scientists who have to comprehend the basics of picture processing idea and algorithms to accomplish their technical initiatives. it really is meant to fill the space among latest high-level texts devoted to experts within the box and the necessity for a simpler, primary textual content on picture processing. numerous instance pictures are used to reinforce reader Read more...

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this article is aimed toward practising engineers and scientists who have to comprehend the basics of photograph processing idea and algorithms to accomplish their technical projects. a number of example Read more...

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5: Typical rod and cone density as a function of distance from the fovea (adapted from Moses, 1970). Located within the central 20° about the fovea are approximately 10 million cones that are very sensitive to color but need a moderate amount of light intensity (photopic vision). There are three types of cones (red, blue, and green), each sensitive to the wavelength of the light imaged on the retina. 5 /lm in diameter with a cone to cone spacing of 3 /lm. Due to the high density of the cones within the fovea, the optical resolution of the eye within this region is close to diffraction limited imaging, and within this region the greatest acuity is achieved.

22(b). However, mconnectivity eliminates multiple paths by removing the diagonal path if 4connectivity already exists between two pixels. This effectively leaves the horizontal and vertical paths and removes the diagonal path. Two pixels A and B are m-connected provided A is an 8-neighbor of B, their graylevels meet some predetermined criteria, and the 4-neighbor set of A with B does not intersect the 4-neighbor set of B with A. 22(c) shows the use of m-connectivity and the elimination of the double path that was present in the 8-connected example given in Figure 1.

23: Examples of (a) 4-distance and (b) 8-distance. 7 Typical Image Processing Systems There are several methods of converting an image into a digital form for processing. The first method is to use a flatbed scanner interfaced into a computer system that scans photographs using a linear array of electronic detectors. The electrical signals from the scanner are then converted into a digital format that is stored within the computer system. The second method of acquiring an image is to use the Kodak PhotoCn@ format to store images onto a computer compatible CD disc, as mentioned earlier in this chapter.

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