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31#
發(fā)表于 2025-3-26 22:15:09 | 只看該作者
32#
發(fā)表于 2025-3-27 04:18:06 | 只看該作者
33#
發(fā)表于 2025-3-27 08:07:14 | 只看該作者
Nabil Abu el Ata,Maurice J. Perksr, we physically interpret the method of convolution in the image-processing framework by the method of digital differentiation. Here, we take an example of . from the digital image-processing domain to understand the convolution in light of digital differentiation.
34#
發(fā)表于 2025-3-27 09:42:22 | 只看該作者
35#
發(fā)表于 2025-3-27 16:21:06 | 只看該作者
Interpretation and Processing of Image in Frequency Domain,age processing and pattern recognition through this book, the target readers should not be only the experts in signal processing. Therefore, to brush up the knowledge of signal analysis in frequency domain, the basic frequency domain transformations are presented and discussed as they have evolved depending on needs and applicability.
36#
發(fā)表于 2025-3-27 20:48:24 | 只看該作者
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38#
發(fā)表于 2025-3-28 02:05:31 | 只看該作者
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發(fā)表于 2025-3-28 06:42:54 | 只看該作者
40#
發(fā)表于 2025-3-28 13:20:14 | 只看該作者
Appendix B: Elementary Probability Theory,ason for which we need to depend on the concept of probability. In image processing, pattern recognition, signal processing and communication–noise accumulation probability, probability distribution of noise, modeling of noise and signal in image, understanding the tendency of image formation, and image understanding are really essential studies.
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