派博傳思國際中心

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

作者: Enkephalin    時間: 2025-3-21 16:34
書目名稱Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic影響因子(影響力)




書目名稱Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic影響因子(影響力)學科排名




書目名稱Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic網(wǎng)絡公開度




書目名稱Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic網(wǎng)絡公開度學科排名




書目名稱Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic被引頻次




書目名稱Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic被引頻次學科排名




書目名稱Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic年度引用




書目名稱Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic年度引用學科排名




書目名稱Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic讀者反饋




書目名稱Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic讀者反饋學科排名





作者: cardiovascular    時間: 2025-3-21 22:39

作者: 他日關稅重重    時間: 2025-3-22 00:27
This Chapter presents some available metrics to measure the quality of the edge detection methods. We describe the figure of merit of Pratt (FOM) and the quality measurement using the MSE, PSNR and SSIM indices. We also include the equations to calculate these metrics.
作者: decode    時間: 2025-3-22 07:49
This Chapter consists in two parts; first we are presenting the methodology to develop a GT2 fuzzy edge detection method, and in this proposed method we are including the low-pass and high-pass filters. Secondly, the fuzzy edge detector is applied on a face recognition system?using a monolithic Neural Network.
作者: 胡言亂語    時間: 2025-3-22 12:17
Generalized Type-2 Fuzzy Logic,This Chapter describes the basic concepts about generalized type-2 fuzzy sets theory. We explain the generalized type-2 fuzzy system approximation based on α-planes including the fuzzifier process, fuzzy rules, inference engine, type reducer and defuzzification process; all these definitions are used to develop the fuzzy edge detection methods
作者: 歹徒    時間: 2025-3-22 14:35
Metrics for Edge Detection Methods,This Chapter presents some available metrics to measure the quality of the edge detection methods. We describe the figure of merit of Pratt (FOM) and the quality measurement using the MSE, PSNR and SSIM indices. We also include the equations to calculate these metrics.
作者: 歹徒    時間: 2025-3-22 17:26

作者: 殺蟲劑    時間: 2025-3-22 22:01

作者: Ischemic-Stroke    時間: 2025-3-23 05:12
SpringerBriefs in Applied Sciences and Technologyhttp://image.papertrans.cn/e/image/302238.jpg
作者: 盤旋    時間: 2025-3-23 07:22

作者: thrombosis    時間: 2025-3-23 12:14
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
作者: 預感    時間: 2025-3-23 16:35
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.
作者: CANON    時間: 2025-3-23 21:56
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
作者: Constant    時間: 2025-3-24 00:22
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
作者: 泥瓦匠    時間: 2025-3-24 05:21

作者: 泛濫    時間: 2025-3-24 09:09

作者: 榮幸    時間: 2025-3-24 14:35
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.
作者: CHARM    時間: 2025-3-24 16:06

作者: 具體    時間: 2025-3-24 20:15
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.
作者: 階層    時間: 2025-3-25 01:55

作者: Free-Radical    時間: 2025-3-25 07:09

作者: 祖?zhèn)?nbsp;   時間: 2025-3-25 10:13

作者: Kinetic    時間: 2025-3-25 14:54
ved by the T1 and IT2 fuzzy edge detection methods..Additionally, in this section we also present a comparative analysis with the recognition rates achieved by the GT2 against the results obtained by T1 and T2 fuzzy edge detectors; when these are applied on a face recognition system.
作者: 原來    時間: 2025-3-25 16:15
Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic Systems,orphological 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 detection method applied on color images and finally, the edge detection method using GT2 fuzzy images.
作者: intrigue    時間: 2025-3-25 22:30
Experimentation and Results Discussion,ved by the T1 and IT2 fuzzy edge detection methods..Additionally, in this section we also present a comparative analysis with the recognition rates achieved by the GT2 against the results obtained by T1 and T2 fuzzy edge detectors; when these are applied on a face recognition system.
作者: cunning    時間: 2025-3-26 01:34
https://doi.org/10.1057/9780230524101alized type-2 is needed in real-world devices and applications, in particular in the image processing area that is the case study in this book, because the devices that capture digital images are always exposed to external interference adding high noise levels or uncertainty to the images.
作者: 歡笑    時間: 2025-3-26 05:11

作者: galley    時間: 2025-3-26 09:48
Book 2017ormat..Another contribution in this book is that the generalized type-2 fuzzy edge detector method is applied in the preprocessing phase of a face rec-ognition system; where the recognition system is based on a monolithic neural network. The aim of this part of the book is to show the advantage of u
作者: endure    時間: 2025-3-26 14:49
Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic
作者: 思鄉(xiāng)病    時間: 2025-3-26 17:13
2191-530X r method is applied in the preprocessing phase of a face rec-ognition system; where the recognition system is based on a monolithic neural network. The aim of this part of the book is to show the advantage of u978-3-319-53993-5978-3-319-53994-2Series ISSN 2191-530X Series E-ISSN 2191-5318
作者: Eructation    時間: 2025-3-27 00:03

作者: bioavailability    時間: 2025-3-27 02:08

作者: Terrace    時間: 2025-3-27 09:19
Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic Systems,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
作者: 松軟    時間: 2025-3-27 12:48

作者: EPT    時間: 2025-3-27 15:40
Conclusions,rtainty in the problem. In other words, generalized type-2 fuzzy logic allows for better modeling of uncertainty, because it gives more degrees of freedom in comparison to interval type-2 and type-1 fuzzy logic.?The complex nature of the uncertainty encountered in the real world?indicates that gener
作者: Apoptosis    時間: 2025-3-27 19:28

作者: NOCT    時間: 2025-3-28 01:16

作者: 諄諄教誨    時間: 2025-3-28 03:35

作者: 決定性    時間: 2025-3-28 06:38

作者: TOXIN    時間: 2025-3-28 12:07

作者: choroid    時間: 2025-3-28 15:06

作者: 條約    時間: 2025-3-28 21:22
Book 2009Latest editionh?heren Frequenzbereich. Das Buch bietet zahlreiche aktuelle Beispiele zum Entwurf von Sensoren und Aktoren sowie von direkt gekoppelten Sensor-Aktor-Systemen. Der Anhang enth?lt anspruchsvollere Grundlagen zur Signalbeschreibung sowie eine Zusammenstellung wichtiger Materialdaten..




歡迎光臨 派博傳思國際中心 (http://www.pjsxioz.cn/) Powered by Discuz! X3.5
确山县| 从江县| 沂水县| 丰顺县| 无棣县| 黄石市| 沙田区| 乌鲁木齐市| 自治县| 安新县| 磐安县| 澄城县| 新昌县| 睢宁县| 平阴县| 丹寨县| 若尔盖县| 中阳县| 盐城市| 石家庄市| 塔城市| 山东省| 罗平县| 阳泉市| 乐昌市| 湾仔区| 武清区| 大余县| 景宁| 古田县| 田林县| 邹城市| 庆云县| 兴和县| 家居| 阿克苏市| 安岳县| 赤城县| 永修县| 睢宁县| 鄂托克前旗|