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8篇 您的检索式：作者名="HamedA"

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		题名	作者	年代	出处	被引量
	1	Influence of NaCI and Na2SO4 Treatments on Growth Development of Broad Bean (Vicia Faba, L.) Plant显示文摘	Hameda El Sayed Ahmed El Sayed	2011	Journal of Life Sciences2011，5，7：	4
	2	A dynamic traffic assignment mold and a solution algorithm显示文摘	Drissi K O Hameda B A	1992	Transpn Sci1992，26，：	1
	3	Analysis of Salvia officinalis plant extracts by capillary electrophoresis 显示文摘	BEN HAMEDA A GAJDO D HAVEL J	2006	J Sep Sci2006，29，8：	1
	4	ANewTrinotriterpenoidfromCleomeDrysntha显示文摘	ChemYG QinGW HamedA Ietal	1989	ChineseChemicalLetters1989，9，12：	1
	5	A novel fibrinolyticenzyme (Nattokinase)in the vegetable cheese natto,A typical and popular soybean food in the Japanese diet显示文摘	Sumi H Hameda H Tsushima H	1987	Expefientia1987，43，：	1
	6	Catalytic combustion of methane over various perovskite-type oxides显示文摘	Arai H Hameda J Eguchi K	1986	Appl Catal1986，26，：	1
	7	An investigation in the variance in particle sur- face interactions and their effects in gas turbines显示文摘	HamedA	1992	Jour- nal of Engineering for Gas Turbines and Power1992，114，2：	1
	8	A Multi-Level Threshold Method for Edge Detection and Segmentation Based on Entropy显示文摘The essential tool in image processing,computer vision and machine vision is edge detection,especially in the fields of feature extraction and feature detection.Entropy is a basic area in information theory.The entropy,in image processing field has a role associated with image settings.As an initial step in image processing,the entropy is always used the image’s segmentation to determine the regions of image which is used to separate the background and objects in image.Image segmentation known as the process which divides the image into multiple regions or sets of pixels.Many applications have been development to enhance the image processing.This paper utilizes the Shannon entropy to achieve edge detection process and segmentation of the image.It introduces a new method of edge detection for 2-D histogram and Shannon entropy based on multilevel threshold.The method utilizes the gray value and the average gray value of the pixels to achieve the two dimensional histogram.The current method has apriority in comparison to some upper classical methods.The experimental results exhibited that the proposed method could capture a moderate quality and execution time better than other comparative methods,particularly in the largest images size.The proposed method offers good results when applied with images of different sizes from the civilization of ancient Egyptians.	Mohamed A.El-Sayed Abdelmgeid A.Ali Mohamed E.Hussien Hameda A.Sennary	2020	Computers, Materials & Continua2020，，4：	0

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