Fuzzy Clustering for Image Segmentation Using Generic Shape Information

The performance of clustering algorithms for image segmentation are highly sensitive to the features used and types of objects in the image, which ultimately limits their generalization capability. This provides strong motivation to investigate integrating shape information into the clustering framework to improve the generality of these algorithms. Existing shape-based clustering techniques mainly focus on circular and elliptical clusters and so are unable to segment arbitrarily-shaped objects. To address this limitation, this paper presents a new shape-based algorithm called fuzzy clustering for image segmentation using generic shape information (FCGS), which exploits the B-spline representation of an object's shape in combination with the Gustafson-Kessel clustering algorithm. Qualitative and quantitative results for FCGS confirm its superior segmentation performance consistently compared to well-established shape-based clustering techniques, for a wide range of test images comprising various regular and arbitrary-shaped objects

Color, Bacteria, and Mosquito Eggs as Ovipositional Attractants for \u3ci\u3eAedes Aegypti\u3c/i\u3e and \u3ci\u3eAedes Albopictus\u3c/i\u3e (Diptera: Culicidae)

Selected bacterial washes, color, and mosquito eggs were comparatively examined as ovipositional attractants for Aedes aegypti and Aedes albopictus. Any evidence of additive activity was noted. All colored washes alone were preferred over selected bacterial washes. The combinations of color and bacteria in a single wash were better attractants for oviposition than colored washes alone. The bacterial content of the breeding water was a more important factor than egg presence in oviposition site selection

The Lunch Line, November 2003

Newsletter produced by Department of Education, Bureau of Food and Nutritio

The Crescent Student Newspaper, October 24, 1986

Student newspaper of Pacific College (later George Fox University). 4 pages, black and white.https://digitalcommons.georgefox.edu/the_crescent/2016/thumbnail.jp