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The ability to accurately identify individuals is required for the detailed study of animals. Numerous artificial markers have been developed for this purpose. Negative effects on survival, reproductive success and behavior have been reported for most marking methods, significantly affecting the very parameters being studied. / Birds of prey have suffered the shortcomings of artificial marking methods. In light of the known and potential deleterious effects of marking, attention has been focused on developing new techniques to identify individual raptors without attaching artificial markers. / This study investigated the use of tarsal scale patterns as unique individual identifiers in birds of prey. The American kestrel (Falco sparverius) was chosen as a model. Both legs of seventy-five kestrels were photographed over a two-year period. / Photographic comparisons of 150 scale patterns demonstrated the uniqueness of each and therefore its ability to be used as an individual's natural identifier. Furthermore, patterns were found to remain unchanged from one year to the next. These findings support the hypotheses that tarsal scale patterns are unique to each bird and do not change over time. / A method of coding the tarsal scale patterns was developed. These codes can be used in a computerized data base to significantly enhance the speed of pattern searches.

Pavement markings, as a form of traffic control devices, play a crucial role in safely guiding drivers. Restriping pavement markings is an important task in the maintenance of traffic control devices. Every year state agencies spend a lot of money in maintaining pavement markings as the retroreflectivity or durability values of the markings fall below a minimum level. Currently, the most widely adopted method used to determine the presence conditions of pavement markings is by expert observation, a subjective technique that may not provide consistent and convinced results for agencies. Hence, a fast and accurate way to determine the presence conditions of pavement markings can lead to significant cost savings while ensuring driving safety. In this study, a systematic approach that can automatically determine the presence conditions of pavement markings using digital image processing techniques is presented. These techniques are used to correct the geometric deformity, detect colors of pavement markings, segment images, enhance images, detect edge lines of ideal pavement markings, and recognize the features of pavement markings appearing in the photographs. To better implement the aforementioned techniques, a software package has been developed by Graphic User Interface (GUI) as a platform to simultaneously evaluate the presence conditions of single or multiple pavement markings. The developed software package is able to do operations such as open files, calibrate camera calibration, clip, rotation, histogram display, and detection of edge lines of ideal pavement markings. The above system was tested and evaluated with the photograph datasets provided by the NTPEP Mississippi test deck. The empirical results (when compared with the manual method and expert observation) show that the developed system in this study is accurate and reliable. Additionally, the interactivity of the developed software package is satisfactory due to the feedback from ten volunteers. It is also concluded that the developed system, as an important reference, potentially helps agencies make a better decision in the maintenance of pavement markings with more accurate and speedy evaluation of the presence conditions of pavement markings.

Thesis (MEd) -- University of South Australia, 1993

Thesis (Ph. D.)--University of Toronto, 2005. / Includes bibliographical references (leaves 193-209).

Thesis (Ed.D.)--University of Tulsa, 1969. / Bibliography: leaves 101-105.

Thesis (Ed. Spec.)--University of Wisconsin--Stout, 2008. / Includes bibliographical references.

Thesis (M.S.)--University of North Carolina Wilmington, 2008. / Includes appendix. Title from PDF title page (viewed May 27, 2009) Includes bibliographical references (p. 64-65)