Titlebook: Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic; Claudia I. Gonzalez,Patricia Melin,Oscar Castillo Book 2017 The Author(s)

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ical gradient technique. The second method combines the GT2 FSs and Sobel operator; in the third approach the methodology based on Sobel operator and GT2 FSs is improved to be applied on color images. In the fourth approach, we proposed a novel edge detection method where, a digital image is convert

預(yù)感

ent some concepts, equations and pseudocode to apply these methods on grayscale and color images. We also describe in this chapter some filters used in digital image processing in which are included the low-pass filters and high-pass filters.

CANON

he four edge detection approaches based on generalized type-2 fuzzy systems (GT2 FSs). The first edge detection approach is based on GT2 FSs and the Morphological gradient. The second is the edge detection method based on GT2 FSs and the Sobel operator. The third is the generalized type-2 fuzzy edge

Constant

s, which were presented in Sect. 7.5; besides this, the values obtained by the GT2 fuzzy edge detection methods are compared against the results achieved by the T1 and IT2 fuzzy edge detection methods..Additionally, in this section we also present a comparative analysis with the recognition rates ac

泥瓦匠

泛濫

榮幸

ent some concepts, equations and pseudocode to apply these methods on grayscale and color images. We also describe in this chapter some filters used in digital image processing in which are included the low-pass filters and high-pass filters.

CHARM

具體

enhance edge detection in digital images?when usedwhen are used?in conjunction with the morphological gradient and the Sobel operator. The proposed generalized type-2 fuzzy edge detection methods were tested with benchmark images and synthetic images, in a grayscale and color format.

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