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Morphometric parameters

Image analysis can be used to determine a variety of morphometric parameters including area, Feret s diameter, Martin s diameter, aspect ratio (ratio of minimum to maximum Feret diameter), perimeter, length, width, and form factor (the ratio of area/[perimeter]2), which can be related to specific particle shapes. Some of these functions are illustrated in Fig. 10 [14]. In addition, quantitative methods have been developed to measure particle shape [2,15,16]. [Pg.168]

Table 1 Location and morphometric parameters of the monitored lakes... Table 1 Location and morphometric parameters of the monitored lakes...
Morphometric Parameters in the Alveolar Region of Normal Mammalian Lungs... [Pg.275]

Castleman, W. L. (1984) Alterations in pulmonary ultrastructure and morphometric parameters induced by parainfluenza (Sendai) virus in rats during postnatal growth. Am. J. Pathol. 114, 322-335. [Pg.310]

An appropriately chosen set of surface parameters can be related to specific physical processes. For example, it is not surprising that the area covered by vegetation drives the magnitude of the latent heat flux, or that morphometric parameters help to describe the roughness and turbulence characteristics over a particular urban surface. Therefore, the following three most important characteristics can be outlined (cf. Piringer and Joffre, 2005 [497], for a summary). [Pg.320]

Use of satellite information for mapping of the Aral Sea shoreline began in the second half of the 1970s, when changes in morphometric parameters of the sea had already manifested themselves. [Pg.149]

Zhang YH, Kanamaru H, Oyama N, et al. Prognostic value of nuclear morphometry on needle biopsy from patients with prostate cancer is volume-weighted mean nuclear volume superior to other morphometric parameters Urology. 2000 55 377. [Pg.654]

The measurement of morphometric parameters such as area, perimeter, centroid, angles, distance between structures, and maximum or minimum diameter can be used to obtain information about structures and their spatial relationship in a tissue section. These structures could be cells, cellular nuclei, cytoplasmic projections, fiber varicosities, cytoplasm inclusions, etc. All these parameters allow for the quantification of morphological data. Values obtained from these measurements can be read in different ways through a table of values, a histogram (where different parameters can be analyzed), or graphics (where more than two parameters can be compared at the same time). The image analyzer can also offer statistical values such as mean, standard deviation, and standard error, or export the values to appropriate statistics software. [Pg.94]

A stronger root growth and inhibition of vegetative parts were observed in the study of morphometric parameters of the background of the infected seedlings (Table 18.2). [Pg.247]

Since a conventional TEM produces a projected three-dimensional (3D) image on a two-dimensional (2D) plane, quantitative information on the filler dispersion can be attained by using AIA techniques. 97,99,102,115,125,127,134 this way, it is possible to recognize, select, measure and compare size and shape of the complex structures dispersed in the matrix through the use of descriptors based on geometrical parameters, such as area, perimeter, diameter and morphometric parameters, such as shape ratio and roundness (Figure 23.3). However, TEM image analysis of filler microdispersions is more difficult to... [Pg.681]

Estimation of impact of factors of natural conditions on the activity and scales of karstification can be obtained by the way of its comparison with karst forms and their morphometric parameters. [Pg.869]

The general aim of comparison is determination of 1) empirical and theoretical distributions of karst forms on the values of concerned factors 2) distributions of morphometric parameters of karst forms and their relationships with studied factors of natural conditions. For these purposes uses methods of cartographical and graphical modeling and analytical interpretation of quantitative data. [Pg.869]

Estimation of scales of karst development in geotechnical purposes is realized by means of analyzing of morphometric parameters of karst forms. [Pg.870]

Generality of distributions and coincidence in development of underground and surface karst forms with close morphometric parameters within the same areas allows concluding about the close links between them. [Pg.871]

Taking it into account becomes possible to forecast morphometric parameters of one karst forms on values of others (Fig. 4). [Pg.871]

Figure 4. Relationship between morphometric parameters of karst forms. Figure 4. Relationship between morphometric parameters of karst forms.
Figure 5. Algorithm of searching the relationships between morphometric parameters of karst forms and factors of natural conditions. Figure 5. Algorithm of searching the relationships between morphometric parameters of karst forms and factors of natural conditions.
For the purpose of diverse matching and comparing of results, lineament index, soils properties and morphometric parameters of karst forms... [Pg.875]

FIGURE 20.8 Mass balance diagram showing the effect of thermal stratification on chemical fate and transport for the (a) well-mixed model and (b) the stratified lake. Refer to Table 20.2 and the text for details of the equations and morphometric parameters used. [Pg.585]


See other pages where Morphometric parameters is mentioned: [Pg.125]    [Pg.3245]    [Pg.320]    [Pg.321]    [Pg.147]    [Pg.147]    [Pg.149]    [Pg.161]    [Pg.27]    [Pg.246]    [Pg.117]    [Pg.867]    [Pg.868]    [Pg.869]    [Pg.869]    [Pg.871]    [Pg.871]    [Pg.872]    [Pg.876]    [Pg.876]    [Pg.164]    [Pg.252]   
See also in sourсe #XX -- [ Pg.154 ]




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