convolution

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convolution

 [kon″vo-lu´shun]
a tortuous irregularity or elevation caused by the infolding of a structure upon itself.

con·vo·lu·tion

(kon'vō-lū'shŭn),
1. A coiling or rolling of an organ.
2. Specifically, a gyrus of the cerebral cotex or folia of the cerebellar cortex.
[L. convolutio]

convolution

/con·vo·lu·tion/ (-loo´shun) a tortuous irregularity or elevation caused by the infolding of a structure upon itself.
Broca's convolution  the inferior frontal gyrus of the left hemisphere of the cerebrum.
Heschl's convolutions  transverse temporal gyri; see temporal gyrus, under gyrus.

convolution

(kŏn′və-lo͞o′shən)
n.
1. A form or part that is folded or coiled.
2. One of the convex folds of the surface of the brain.

con′vo·lu′tion·al adj.

convolution

[kon′vəlo̅o̅′shən]
Etymology: L, convolutus, rolled together
a tortuous irregularity or elevation caused by a structure being infolded on itself, such as the gyri of the cerebrum. See also gyrus.

convolution

(1) A redundancy or folding of tissue native to an organ. 
(2) Gyrus, brain.

convolution

An elevation on the surface of a structure and an infolding of the tissue upon itself

con·vo·lu·tion

(kon-vŏ-lū'shŭn)
1. A coiling or rolling of an organ.
2. Specifically, a gyrus of the cerebral or cerebellar cortex.
[L. convolutio]

convolution

a tortuous irregularity or elevation caused by the infolding of a structure upon itself.
References in periodicals archive ?
Singer formed Convolve, a privately held company based in New York City.
In a powerful and moving epilogue of his own, Weimann opens up the book to issues involving contemporary literary and performance theory: he clearly wants to "revitalize a legacy" of doubleness that is not hopelessly divided between text and performance in a "traditional" sense or between signifier and the world in a "deconstrucrionist" sense: "The rupture cannot be denied; and yet there is a linkage behind the dislinkage allowing for separate and sometimes incompatible practices to convolve and communicate" (248).
If we convolve different gamma distributions and take limits, as Thorin did, we get a class of infinitely divisible distributions with mgf of the form (with t instead of [lambda])
Since the convolution operation is associative, we can convolve the Gaussian smoothing filter with the Laplacian filter first of all, and then convolve this hybrid filter with the image to achieve the required result.