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Comparative Headstone Analysis and Photogrammetry of Cemeteries in Orange County, Florida.Robinson, Tyra 01 January 2018 (has links)
Headstones manifest an abundance of historic information and embody society's cultural and socioeconomic statuses over time. Cemetery research has been conducted throughout various regions in the United States, but very little has been focused on headstone analysis in the state of Florida. The purpose of this comparative research is to use a typology established by Meyers and Schultz to compare headstone attributes of Orange County, FL and establish a temporal correlation (2012). The analysis of this study has the ability to highlight societal perceptions and ideals surrounding death and mortuary practices while providing a historical context specific to the state of Florida. Data was collected from two cemeteries in Orange County, representing the headstones of 853 individuals. The methodology of this study entailed visiting the cemeteries, photographing headstones, and noting headstone attributes. Following the model set forth in Meyers and Schultz, attributes taken into consideration for this project were stone type, shape, time period, and sex of the individual (2012). In addition to assessing headstone typology for historic cemeteries, the development of best practices for photogrammetry of headstones will be examined. The questions addressed in this research will hopefully illuminate mortuary trends in Central Florida and encourage future research and literature to shift its focus to include southern regions of the United States in terms of historical Cemetery context. Additionally, practices developed in photogrammetry can aid public archaeology conservation and restoration efforts of historic cemeteries that are endangered of being lost due to external circumstances.
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Data Acquisition from Cemetery HeadstonesChristiansen, Cameron Smith 27 November 2012 (has links) (PDF)
Data extraction from engraved text is discussed rarely, and nothing in the open literature discusses data extraction from cemetery headstones. Headstone images present unique challenges such as engraved or embossed characters (causing inner-character shadows), low contrast with the background, and significant noise due to inconsistent stone texture and weathering. Current systems for extracting text from outdoor environments (billboards, signs, etc.) make assumptions (i.e. clean and/or consistently-textured background and text) that fail when applied to the domain of engraved text. Additionally, the ability to extract the data found on headstones is of great historical value. This thesis describes a novel and efficient feature-based text zoning and segmentation method for the extraction of noisy text from a highly textured engraved medium. Additionally, the usefulness of constraining a problem to a specific domain is demonstrated. The transcriptions of images zoned and segmented through the proposed system result in a precision of 55% compared to 1% precision without zoning, a 62% recall compared to 39%, an F-measure of 58% compared to 2%, and an error rate of 77% compared to 8303%.
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