Non-linear Edge Detectors Based on the Majority Gate
نویسندگان
چکیده
A new technique for implementation of morphological edge detectors, including median prefiltering is presented in this paper. The proposed technique uses a bit-serial algorithm based on the majority gate. Several morphological edge detectors are studied and experimental results are also presented.
منابع مشابه
Optical simulation and experimental measurement of gamma ray energy spectrum of plastic scintillators with different sizes
The application of large plastic scintillators is widely increasing in the different areas of industry, medicine and security due to technical and economic advantages. One of the main disadvantages of these detectors is the unknown position of Compton edge at gamma ray spectrum. In this research, GEANT4/GATE code has been used to simulate the gamma ray spectrum for different volumes of large pl...
متن کاملLinear-optical implementations of the iSWAP and controlled NOT gates based on conventional detectors
The majority of linear-optical nondestructive implementations of universal quantum gates are based on single-photon resolving detectors. We propose two implementations, which are nondestructive (i.e., destroying only ancilla states) and work with conventional detectors (i.e., those which do not resolve number of photons). Moreover, we analyze a recently proposed scheme of Wang et al. [J. Opt. S...
متن کاملQuad-pixel edge detection using neural network
One of the most fundamental features of digital image and the basic steps in image processing, analysis, pattern recognition and computer vision is the edge of an image where the preciseness and reliability of its results will affect directly on the comprehension machine system made objective world. Several edge detectors have been developed in the past decades, although no single edge detector...
متن کاملQuad-pixel edge detection using neural network
One of the most fundamental features of digital image and the basic steps in image processing, analysis, pattern recognition and computer vision is the edge of an image where the preciseness and reliability of its results will affect directly on the comprehension machine system made objective world. Several edge detectors have been developed in the past decades, although no single edge detector...
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 کامل