نتایج جستجو برای: fuzzy edge detection

تعداد نتایج: 751565  

Journal: :international journal of smart electrical engineering 2012
fatemeh khosravi pourian reza sabbaghi-nadooshan

in this paper, by means of fuzzy approaches, an accurate method is introduced for edging of color photographs. the difference between our method with other similar methods is the use of a morphological operation to think or thick the obtained edges. in this proposed method, a 3×3 window is dragged on the photo. for each block, 12 point sets will be defined, each including two non-overlapping po...

Rahil hosseini

 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 ...

Journal: :journal of advances in computer research 0
farnaz hoseini department of computer engineering, rasht branch, islamic azad university, rasht, iran asadollah shahbahrami department of computer engineering, faculty of engineering, university of guilan, rasht, iran anaram yaghoobi notash department of computer engineering, rasht branch, islamic azad university, rasht, iran peyman bayat department of computer engineering, collage of engineering, rasht branch, islamic azad university, rasht, iran

according to world health organization, breast cancer is one of the most deadly cancers occurred in women. therefore accurate diagnosis and prediction is important to decrease the high death rate. the aim of this paper is twofold. first, improving breast cancer detection accuracy using modified fuzzy logic (mfl) then improving the performance of mfl algorithm using gpu platform. the experimenta...

Rahil hosseini

 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 ...

Journal: :Inf. Sci. 1996
R. Hillebrand P. P. Wang U. Gösele

2012

Image Edge Detection is one of the most important parts of image processing. In this paper, by fuzzy technique, a new method is used to improve digital image edge detection. In this method, a 3x3 mask is employed to process each pixel by means of vicinity. Each pixel is considered a fuzzy input and by examining fuzzy rules in its vicinity, the edge pixel is specified and by utilizing calculatio...

2012

Image Edge Detection is one of the most important parts of image processing. In this paper, by fuzzy technique, a new method is used to improve digital image edge detection. In this method, a 3x3 mask is employed to process each pixel by means of vicinity. Each pixel is considered a fuzzy input and by examining fuzzy rules in its vicinity, the edge pixel is specified and by utilizing calculatio...

2012
LI FANG WEIREN SHI SHUHAN CHEN

Edge detection is an indispensable part of image processing. In this paper, a novel edge detection method based on multiple features and fuzzy reasoning is proposed, in which the limitations of gradient-based edge detection methods and present fuzzy edge detection algorithms can be overcome. The new method selects trapezoid fuzzy membership functions, defines multiple features for each pixel fr...

2015
Kavita Sharma Vinay Chopra

This paper evaluates the performance of the color based edge detection techniques. As known in prior the color images provides more information than the gray scale images, 90% of the edges are same in both type of images but 10% edges cannot be detected in gray images. Therefore color edge detection may improve the edge clarity further and also avoids false edges. The overall purpose of this pa...

Journal: :Information 2017
Claudia I. González Patricia Melin Oscar Castillo

Abstract: This paper presents a new general type-2 fuzzy logic method for edge detection applied to color format images. The proposed algorithm combines the methodology based on the image gradients and general type-2 fuzzy logic theory to provide a powerful edge detection method. General type-2 fuzzy inference systems are approximated using the α-planes approach. The edge detection method is te...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید