| Jain,A. K. Fundamentals of Digital Image Processing Prentice Hall Inc. 1989 |
....also contains a colour marker used by the dermatologist to designate the lesion to be imaged. 24 DullRazor focuses on hair regions of a skin image; non hair regions are neither processed nor altered. Figure 3.8. The final output of DullRazor for Fig. 3. 2 45 x N, where N is an odd integer [5, 68, 126]. It is known that the MF preserves edges while removing impulsive noise, but it also erases thin lines and clips sharp corners. The problematic behaviour of the MF can be alleviated by a set of linear and curved filter windows shown in Fig. 3.9. For example, the filter window W(1) preserves ....
A. Jain. Fundamentals of Digital Image Processing: Prentice-Hall, 1989.
....of the primary aims of image enhancement is to improve the contrast between region(s) of interest and the background. As such, the quality of enhancement has a direct bearing on the quality of segmentation. Image enhancement can be accomplished using a range of spatial or spectral domain methods (Jain 1995, Gonzalez 1993) However, how do we measure the quality of enhancement in digital mammograms when using a given method The quality of image enhancement can be measured in the context of how well the contrast between the ROI enclosing the target and background improves once the image has been ....
Jain, A. 1995. Fundamentals of Digital Image Processing: Prentice-Hall of India.
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Jain,A. K. Fundamentals of Digital Image Processing Prentice Hall Inc. 1989
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Jain, A. K. Fundamentals of Digital Image Processing Prentice Hall, New York, 1989.
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A. K. Jain, Fundamentals of Digital Image Processing 1Pren- tice-Hall, Englewood Cliffs, N.J., 19892, p. 505.
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