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This V could be any subset of a given image set. Different moments have its features. 1 / 0 2003 ^^ 2015-02-27 22:40:14 1024 x 10248No. We should understand that the digital image we saw on the screen is discrete and different from the electromagnetic spectrum which is continuous.In digital computer, images are matrixes which contains intensities as their elements. Predefined operations are embodied in the masks. Some notations are confusing. –– Box filter: a spatial averaging filter in which all coefficients are equal–– Weighted average: pixels are multiplied by different coefficients.–– Averaging filters: the response of a smoothing, linear spatial filter is simply the average of the pixels contained in the neighborhood of the filter mask.–– Averaging filters is a lowpass filter.–– Impulse noise white and black dots superimopsed on the image.–– Median filters are useful to handle impulse noise.–– The principal objective of sharpening is to highlight transitions in intensity.–– Zero crossing property is useful for locating edges.–– Edges in digital images often are ramp-like transitions in intensity.–– Isotropic filters are rotation invariant.–– A typical way to scale a Laplacian image is to add to it its minimum value to bring the new minimum to zero and then scale the result to the full[0, L-1] intensity range.–– Fuzzy logic concepts find application in situations characterized by vagueness and imprecision, rather than by randomness. / / . The value could be transformed into a decimal form which is an 8-digits value. The structure of eyes, the distribution of the light and color censoring cells are introduced.

The original picture could be reconstructed with only several layers. This transformation is also called gamma correction. Defuzzify the final output fuzzy set.The fuzzy set theory could be applied for intensity transformations and spatial filtering. Apply an implication method4. But it is better to summarize these techniques respectively since I find it difficult to remember all the details. Apply an aggregation method to the fuzzy sets from step 35. This chapter talks about the basic techniques in intensity transformation and spatial filtering.

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