The recent availability of low-cost digital microscopes and imaging software has resulted in the rapid adoption of digital image analysis in charcoal studies. Sedimentary charcoal analysis is increasingly used in archaeological and paleoecological research to examine human-environmental relationships at multiple scales. Results show varying levels of significant statistical difference between types and minimal difference within most types sampled. Pigment and reflectance values acquired from images via Image J software (open source freeware) were compared both within types and between types with one-way ANOVA analysis. Mineral and organic black pigments from five black-on-white ceramic types (Jemez, Cortez, Chuska, Red Mesa, and Abiquiu) from the American Southwest were used for comparative purposes. This pilot study explores the ability to utilize this non-destructive technique to analyze variability of pigment recipes within ceramic types and between types.
Multispectral cameras take multiple images at 370nm, 448nm, 476nm, 499nm, 519nm, 598nm, 636nm, 700nm, 735nm, 780nm, 870nm, and 940nm wavelengths with UV bandpass, visible bandpass, and long pass filters to increase the range of captured information to include UV reflectance and fluorescence emission images. Multispectral imaging cameras are frequently used in art conservation for identifying pigments, as well as for monitoring change in pigments over time. Generalized Linear Mixed Effects Models were used to determine the effect of type.
The same measurements were taken from 101 scaled photographs of the leopards recorded during a baited-camera trapping (BCT) survey conducted from July 1 to Octoand differences from the actual measurements calculated. A total of 10 leopards (Panthera pardus) were captured and collared at Malilangwe Wildlife Reserve, Zimbabwe from May 7 to Jand four body measurements namely shoulder height, head-to-tail, body, and tail length were recorded. The objective of this study was to test whether it is possible to obtain accurate measurements of body dimensions of leopards from camera trap photographs. Development of an alternative, inexpensive, and non-invasive method therefore warrants attention. This process can be dangerous, costly and potentially harmful to the target individuals. Measurement of body dimensions of carnivores usually requires the chemical immobilization of subjects. Finally a method is provided for medical images processing bas. Also, this paper introduces tools and methods for medical images processing using the cloud. This paper reviews medical image processing and its challenges, states cloud computing and cloud computing benefits due to medical image processing. Migrating medical imaging applications and data to the Cloud can allow healthcare organizations to realize significant cost savings relating to hardware, software, buildings, power and staff, in addition to greater scalability, higher performance and resilience. Also lack of image processing and analysis tools for handling the large image datasets has compromised researchers and practitioner‟s outcome. The rapid growth in the use of Electronic Health Records across the globe along with the rich mix of multimedia held within an EHR combined with the increasing level of detail due to advances in diagnostic medical imaging means increasing amounts of data can be stored for each patient.
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