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• W2012162116 abstract "A general survey has been made of the present utility of computing equipment and automatic devices for common problems in stereology and morphometry. Three situations have been evaluated: (1) Commonly available computer facilities permit easy and rapid prediction of two-dimensional measurement distributions characteristic of any mathematically defined spatial structure. Tabulated predictions can be computed by direct simulation of sampling processes and random perturbations may be introduced if desired. Resort to formal mathematical solutions is not normally required. (2) For purposes of controlling the quality of useful solid materials, the materials engineer can be satisfied by description of a Gestalt which characterizes the material as a whole and which can reasonably be presumed to control the behaviour of the material in service. Six stereologically valid parameters are sufficient to describe such a Gestalt. These are: volume fraction (Vv), mean free path in the matrix (l̄α), mean intercept width of particles (l̄β) and measures of material variability, general anistropy, and degree of patternness. Practical measurements of the latter parameters have been defined. Current scanner models are intrinsically suitable for these measurements but will benefit from standardized data outputs and improvements to increase measuring accuracy. (3) While Gestalt measurements may perhaps be applicable to some biological problems, many problems in this field are specifically concerned with the micro-architecture of individual objects or cells. Micro-architectural observations such as counting and measuring, or identifying, individual object sections are inefficiently performed in ordinary computers. Large programming effort is required for limited machine intelligence and the operating speeds are unsatisfactory. These machine operations are not yet competitive with human observers. A partnership combining human identification with machine measurement of identified objects is practical and equipment is presently available. There is reason to presume that computer methods of object identification which have been employed are not similar to the methods actually employed by humans. New hardware systems appear to be necessary either to obtain satisfactory operating speeds by known processes or, if possible, to economically simulate human processes of image recognition." @default.
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• W2012162116 date "1972-02-01" @default.
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• W2012162116 title "Recent progress in automatic image analysis*" @default.
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• W2012162116 doi "https://doi.org/10.1111/j.1365-2818.1972.tb03714.x" @default.
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