Image statistics and their processing in insect vision

被引:6
作者
Dyakova, Olga [1 ]
Nordstrom, Karin [1 ,2 ]
机构
[1] Uppsala Univ, Dept Neurosci, Box 593, S-75124 Uppsala, Sweden
[2] Flinders Univ S Australia, Ctr Neurosci, GPO Box 2100, Adelaide, SA 5001, Australia
基金
瑞典研究理事会; 澳大利亚研究理事会;
关键词
NATURAL IMAGES; RESPONSE PROPERTIES; SENSITIVE NEURONS; AMPLITUDE SPECTRA; MOTION DETECTION; OPTIC-FLOW; DROSOPHILA; FLY; CONTRAST; SYSTEM;
D O I
10.1016/j.cois.2017.08.002
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Natural scenes may appear random, but are not only constrained in space and time, but also show strong spatial and temporal correlations. Spatial constraints and correlations can be described by quantifying image statistics, which include intuitive measures such as contrast, color and luminance, but also parameters that need some type of transformation of the image. In this review we will discuss some common tools used to quantify spatial and temporal parameters of naturalistic visual input, and how these tools have been used to inform us about visual processing in insects. In particular, we will review findings that would not have been possible using conventional, experimenter defined stimuli.
引用
收藏
页码:7 / 14
页数:8
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