Segmentation


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Related to Segmentation: Market segmentation, Segmentation fault

segmentation

[‚seg·mən′tā·shən]
(communications)
The division of a long communications message into smaller messages that can be transmitted intermittently.
(computer science)
The division of virtual storage into identifiable functional regions, each having enough addresses so that programs or data stored in them will not assign the same addresses more than once.
The division of a large computer program into smaller units, called segments.
(zoology)

Segmentation

 

in linguistics, the linear division of speech or a text into segments that correlate with specific language units. Segments may be meaningful, as in the case of sentences, words, and morphemes (syntactic and morphological segmentation), or not meaningful, as in the case of syllabemes and phonemes (phonetic segmentation). “Dual linguistic segmentation,” a term introduced by A. Martinet, is also used in this regard. Segmentation is a syntagmatic procedure that precedes definition of paradigmatic units, which are established by comparison of segments. Linguists oppose segmental units to the suprasegmental units of language.


Segmentation

 

(1) In morphology, the division of the body of some animals or of individual organs into a linear series of segments, or metameres. (2) In embryology, a series of consecutive divisions of an egg.

segmentation

(networking)
(Or "segmentation and reassembly", SAR) Breaking an arbitrary size packet into smaller pieces at the transmitter. This may be necessary because of restrictions in the communications channel or to reduce latency. The pieces are joined back together in the right order at the receiver ("reassembly"). Segmentation may be performed by a router when routing a packet to a network with a smaller maximum packet size.

The term "segmentation" is used in ATM, in TCP/IP, it is called "fragmentation" an is performed at the IP layer before the "fragments" are passed to the transport layer.

See for example ATM forum UNI 4.0 specification.

References in periodicals archive ?
Global Paints And Coatings Market, Segmentation By Type, 2014 - 2022, Value ($ Billion) - Water Borne Coatings, Solvent Based Coatings, Powder Coatings, Others - Paints And Coatings
Global Pesticide And Other Agricultural Chemicals Market, Segmentation By Type, 2014 - 2022, Value ($ Billion) - Herbicides, Insecticides, Fungicides, Others - Pesticide And Other Agricultural Chemicals
Since color and texture in a color textured image plays complementary roles in image segmentation, this combination will enhance the final segmentation result more accurately.
Video object segmentation. Inspired by the satisfactory performance of OSVOS in video object segmentation, some improved algorithms based on it were proposed.
While there are many similarities between segmentation for marketing and segmentation for sales, there are important, notable differences as well.
Hence it becomes really difficult to achieve the accurate lung segmentation by guiding the deformable model.
Furthermore, the specific segmentation task to compute a binary mask separating foreground from the background for every input frame (three channels, RGB) of the video was created.
Meanwhile, in terms of how the IT security professionals in patient care organizations are doing network segmentation, Robinson says, "The vast majority of healthcare organizations are still back in the manual configuration phase, trying to address rapidly evolving threat vectors with a manual methodology that just can't keep up.
The segmentation process can be divided into two classes: segmentation-then recognition and recognition-based [7] (Fig.
The proposed segmentation method adopts the combinational algorithm, including histogram equalization to enhance image contrast, bilateral filtering to preserve edge and reduce noise, and adaptive threshold segmentation method to automatically calculate the local threshold to complete foreground target extraction.
Classification approaches are widely used in image segmentation. These methods consist in clustering pixels depending on different features used as an input vector (intensity, texture, neighbours, and spatial distribution in the image) of a clustering algorithm.