Integrating Edge Detection and Dynamic Modeling in Quantitative Analyses of Ecological Boundaries

Integrating Edge Detection and Dynamic Modeling in Quantitative Analyses of Ecological Boundaries

D variously in terms of edges, ecotones, borders, and boundaries, the generalized concept of ecological boundaries has received considerable research attention over the past decade (e.g., Chen et al. 1992, Hansen et al. 1992, Gosz 1993, Risser 1995, Saunders et al. 1999). For the purposes of this article, we define boundary as a zone between contrasting habitat patches that delimits the spatial...

investigation of single-user and multi-user detection methods in mc-cdma systems and comparison of their performances

در این پایان نامه به بررسی روش های آشکارسازی در سیستم های mc-cdma می پردازیم. با توجه به ماهیت آشکارسازی در این سیستم ها، تکنیک های آشکارسازی را می توان به دو دسته ی اصلی تقسیم نمود: آشکارسازی سیگنال ارسالی یک کاربر مطلوب بدون در نظر گرفتن اطلاعاتی در مورد سایر کاربران تداخل کننده که از آن ها به عنوان آشکارساز های تک کاربره یاد می شود و همچنین آشکارسازی سیگنال ارسالی همه ی کاربران فعال موجود در...

Integrating region growing and edge detection

I Abstract-We present a method that combines region growing and edge detection for image segmentation. We start with a split-and-merge algorithm [12] where the parameters have been set up so that an oversegmented image results. Then region boundaries are eliminated or modified on the basis of criteria that integrate contrast with boundary smoothness, variation of the image gradient along the bo...

Integrating population modeling into ecological risk assessment.

Edge Detection in Dynamic Vision

Using a model of an edge's motion through a sequence of images, the problem of its recognition can be formulated as a stochastic filtering problem. The Extended Kalman Filter for such a system is considered in detail and is shown to be interpretable as a sequence of oriented spatial convolutions. Preliminary results show that the edge localization obtained using this filter is substatinally bet...