Serious resistance to urban growth in the Southwest arose at the beginning of the post World War II boom and persisted throughout the 1950s and 1960s. Most historians of the urban West ignore this early resistance. Even New Western historians truncate their studies of urbanization in the Southwest by assuming that serious opposition to development only appeared with the rise of environmentalism in the late 1960s. Urbanization in Tucson and Albuquerque proceeded in the face of constant protest. The expressions of opposition to urban expansion arose in conservative and libertarian political critiques and in ethnic resistance to urban renewal plans that targeted barrio areas. A loosely defined environmentalism appeared in these early forms of resistance as residents fought to preserve their lifestyle and native culture.

No description available.

Thesis (Ph. D.)--Iowa. / Bibliography: l. 54-55.

With the rapid growth of the digital imaging, image processing techniques are widely involved in many industrial and medical applications. Image thresholding plays an essential role in image processing and computer vision applications. It has a vast domain of usage. Areas such document image analysis, scene or map processing, satellite imaging and material inspection in quality control tasks are examples of applications that employ image thresholding or segmentation to extract useful information from images. Medical image processing is another area that has extensively used image thresholding to help the experts to better interpret digital images for a more accurate diagnosis or to plan treatment procedures. Opposition-based computing, on the other hand, is a recently introduced model that can be employed to improve the performance of existing techniques. In this thesis, the idea of oppositional thresholding is explored to introduce new and better thresholding techniques. A recent method, called Opposite Fuzzy Thresholding (OFT), has involved fuzzy sets with opposition idea, and based on some preliminary experiments seems to be reasonably successful in thresholding some medical images. In this thesis, a Weighted Opposite Fuzzy Thresholding method (WOFT) will be presented that produces more accurate and reliable results compared to the parent algorithm. This claim has been verified with some experimental trials using both synthetic and real world images. Experimental evaluations were conducted on two sets of synthetic and medical images to validate the robustness of the proposed method in improving the accuracy of the thresholding process when fuzzy and oppositional ideas are combined.

Thesis (M.A.)--St. Stephen's Priory, Dominican House of Philosophy, 1964.

Thesis (Ph. D.)--Florida State University, 2003. / Advisor: Dr Will H. Moore, Florida State University, College of Social Sciences, Dept. of Political Sciences. Title and description from dissertation home page (viewed Mar. 3, 2004). Includes bibliographical references.

With the rapid growth of the digital imaging, image processing techniques are widely involved in many industrial and medical applications. Image thresholding plays an essential role in image processing and computer vision applications. It has a vast domain of usage. Areas such document image analysis, scene or map processing, satellite imaging and material inspection in quality control tasks are examples of applications that employ image thresholding or segmentation to extract useful information from images. Medical image processing is another area that has extensively used image thresholding to help the experts to better interpret digital images for a more accurate diagnosis or to plan treatment procedures. Opposition-based computing, on the other hand, is a recently introduced model that can be employed to improve the performance of existing techniques. In this thesis, the idea of oppositional thresholding is explored to introduce new and better thresholding techniques. A recent method, called Opposite Fuzzy Thresholding (OFT), has involved fuzzy sets with opposition idea, and based on some preliminary experiments seems to be reasonably successful in thresholding some medical images. In this thesis, a Weighted Opposite Fuzzy Thresholding method (WOFT) will be presented that produces more accurate and reliable results compared to the parent algorithm. This claim has been verified with some experimental trials using both synthetic and real world images. Experimental evaluations were conducted on two sets of synthetic and medical images to validate the robustness of the proposed method in improving the accuracy of the thresholding process when fuzzy and oppositional ideas are combined.

Zugl.: Berlin, Humboldt-Univ., Diss., 2005

Zugl. Kurzfassung von: Hannover, Univ., Diss., 2007 u.d.T.: Kritidis, Gregor: Sozialistische Opposition zwischen Luftbrücke und Mauerbau

Univ., Diss--Mainz, 1998.