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Component analysis of spatial and spectral patterns in multispectral images. II. Entropy minimization.

In Part I [J. Opt. Soc. Am. A 4, 2101 (1987)] of this series, we developed a method for estimating both spatial patterns and spectral curves of components in a multispectral scene. This method does not need spatial and spectral information about the components but only multispread imagery data. The estimation is given as a feasible solution set satisfying the nonnegativity constraint for density and spectral response for all components at all pixels. In this paper, we estimate unique solutions for both the component patterns and the spectra from the feasible solution set. The solution is given by optimizing an entropy minimization criterion. This criterion enhances the spectral or spatial features of individual components. Two experimental results are shown to demonstrate the effectiveness of this method with biological and cytochemical specimens. The limitations of this method for unique pattern estimation are also discussed.

Algorithms

[A comparative analysis of spatial orientation in a changing environment in rats with differing preliminary experience].

Comparison of rats behaviour with different preliminary experience in elaboration of the strategy of return to place of reinforcement was conducted. Significant differences in the number of selective replacements to the place of reinforcement in previous tests in experienced, inexperienced and naive rats were found. It was proved that decisive role in the appearance of the found differences played gained experience and the process of engram extraction from memory. Inhibition of search in naive rats and ability to selective use of strategies corresponding to situation in the experienced ones in condition of stress of permanent changes were shown.

Adaptation, Physiological

[Graphic analysis of spatial changes in the blood vessels in arterial hypertension].

Graphical models of normal vessels and possible abnormal changes thereof (muscular coat hypertrophy or atrophy, and narrowed or intact vascular lumen) have been constructed on the basis of morphometric studies of arteries and arterioles of normal human and white rat heart, liver, brain, lungs, kidneys, stomach, pancreas and small intestine. It is demonstrated that the wall thickness-to-lumen diameter ratio or any similar parameters cannot be used as an unequivocal indicator of vascular change, therefore neither muscular coat hypertrophy, nor narrowed lumen should be regarded as proven in cases of arterial hypertension. The results of the measurement of wall thickness and external as well as inner vascular diameter should be represented as a three-dimensional model for correct assessment of vascular morphogenesis, biomorphosis or pathomorphosis.

Animals