Sexual Dichromatism of “Rusty” Spots in a Population of Faxonius rusticus (Girard)

2019 ◽  
Vol 24 (1) ◽  
pp. 39-42
Author(s):  
Sean Hartzell

Abstract Sexual dichromatism is a common phenomenon among animal taxa and consists of differing coloration between sexes in a species. Specimens of the crayfish Faxonius rusticus (Girard) typically have a distinct “rusty” red spot on each side of the cephalothorax. These spots can display variation in both redness and size among specimens; however, little work appears to have been done examining variation in this trait. As a means of investigating possible sexual differences in the color and relative spot size (RSS) of the “rusty” spot in F. rusticus, this work utilized digital image analysis techniques to quantify the color and size of spots in a population of this species. Analyses revealed no difference in RSS between sexes; however, spots of females were significantly redder than those of males. Sexual dichromatism in the spot color of F. rusticus in this population could be relevant to mate discrimination during mating; however, this or other possible functions of this sexual color difference will need to be examined by behavioral studies.

1998 ◽  
Vol 120 (2) ◽  
pp. 97-101 ◽  
Author(s):  
M. Gopal ◽  
W. P. Jepson

This paper reports the application of novel, digital image analysis techniques in the study of slug flow characteristics, under dynamic conditions in two-phase gas-liquid mixtures. Water and an oil of viscosity 18 cP were used for the liquid phase and carbon dioxide was used for the gas phase. Flow in a 75-mm i.d., 10-m long acrylic pipeline system was studied. Images of slugs were recorded on video by S-VHS cameras, using an audio-visual mixer. Each image was then digitized frame-by-frame and analyzed on a SGI™ workstation. Detailed slug characteristics, including liquid film heights, slug translational velocity, mixing length, and, slug length, were obtained.


1995 ◽  
Vol 59 (395) ◽  
pp. 177-178 ◽  
Author(s):  
N. J. Fortey

“Image analysis” refers to the general family of computational techniques which are concerned with the extracting of quantitative information from images captured in digital form. Such techniques have been in use for several years in areas such as biology and metallurgy, but have been slow to find wide use in the microscopic areas of Earth Sciences. Notable exceptions have included applications in the areas of mineral processing and sedimentary petrography.The impetus for the meeting held jointly by the Applied Mineralogy Group of the Mineralogical Society and the Geological Information Group of the Geological Society of London in September 1993, was an attempt to take stock of the spread of digital image analysis techniques into the domain of the mineralogist and petrologist.


2013 ◽  
Author(s):  
Jonathan Swift

The Journal to Stella, Jonathan Swift's letters to Esther Johnson, or 'Stella', and Rebecca Dingley, written between September 1710 and June 1713, offers an extraordinary commentary on Swift's experiences in London during the most politically active and exciting years of his career and evidence of his evolving relationship with the two women. This edition seeks for the first time both to situate the letters alongside Swift's other works and to place them within their original political, historical and cultural contexts. It brings together a combination of printed work and manuscript to present the most complete and accessible text possible, enhanced by the use of the latest digital image analysis techniques to reinstate previously indecipherable material. In addition to a new critical introduction and appendices, there is also a biographical appendix derived from recently available resources.


2012 ◽  
Vol 503-504 ◽  
pp. 650-653
Author(s):  
Gui Chun He ◽  
Jin Ni Feng ◽  
Yi Peng Wu ◽  
Hua Mei Xiang ◽  
Mei Chao Qi

Froth images are pre-processed, which are acquired at the flotation laboratory. Digital image analysis techniques are used to analysize these froth images and their grey histogram and to extract statistical texture features of those froth images. Finally, the relation model for statistical texture features of those froth images and flotation index is established by RBF neural networks. A simulation showed that the relation model is higher precise


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