3D Edge Detection Based on Boolean Functions and Local Operators
نویسندگان
چکیده
منابع مشابه
Edge Detection
This lecture summary deals with the low level image processing task of edge detection. Edges are discontinuities, significant local changes, in image intensities which arise from three sources: (1)projection of 3D contours (2)texture present on the 3D surfaces (3)shadows cast by the imaged objects. The summary includes the classical derivative based operators due to Canny [2], and Marr [7] and ...
متن کاملA FUZZY DIFFERENCE BASED EDGE DETECTOR
In this paper, a new algorithm for edge detection based on fuzzyconcept is suggested. The proposed approach defines dynamic membershipfunctions for different groups of pixels in a 3 by 3 neighborhood of the centralpixel. Then, fuzzy distance and -cut theory are applied to detect the edgemap by following a simple heuristic thresholding rule to produce a thin edgeimage. A large number of experime...
متن کاملParallelization of the Local Threshold and Boolean Function Based Edge Detection Algorithm Using CUDA
In this paper we present a parallelized algorithm for edge detection for gray scale images. The chosen method is the local threshold and boolean function based edge detection. This method differs from common edge detectors in the use of bit map patterns instead of analyzing gradient changes in the image for edge recognition. The parallelization is implemented on the GPU, exploiting its multithr...
متن کامل3D Inversion of Magnetic Data through Wavelet based Regularization Method
This study deals with the 3D recovering of magnetic susceptibility model by incorporating the sparsity-based constraints in the inversion algorithm. For this purpose, the area under prospect was divided into a large number of rectangular prisms in a mesh with unknown susceptibilities. Tikhonov cost functions with two sparsity functions were used to recover the smooth parts as well as the sharp ...
متن کاملEdge Detection Based On Nearest Neighbor Linear Cellular Automata Rules and Fuzzy Rule Based System
Edge Detection is an important task for sharpening the boundary of images to detect the region of interest. This paper applies a linear cellular automata rules and a Mamdani Fuzzy inference model for edge detection in both monochromatic and the RGB images. In the uniform cellular automata a transition matrix has been developed for edge detection. The Results have been compared to the ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Int. J. Image Graphics
دوره 15 شماره
صفحات -
تاریخ انتشار 2015