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包郵 數(shù)字圖像處理-第三版-英文版
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數(shù)字圖像處理-第三版-英文版 版權(quán)信息
- ISBN：9787121102073
- 條形碼：9787121102073 ; 978-7-121-10207-3
- 裝幀：暫無(wú)
- 冊(cè)數(shù)：暫無(wú)
- 重量：暫無(wú)
- 所屬分類(lèi)：>>
數(shù)字圖像處理-第三版-英文版 本書(shū)特色
《數(shù)字圖像處理(第3版)(英文版)》新特點(diǎn)作為基礎(chǔ)材料，關(guān)于基本概念的介紹比前一版出現(xiàn)得更早修訂和更新了關(guān)于灰度變換、空域相關(guān)、卷積及其在空間濾波中的應(yīng)用的章節(jié)新增模糊集及其在圖像處理中的應(yīng)用的討論單獨(dú)用一節(jié)來(lái)討論離散傅里葉變換和頻域處理新增關(guān)于計(jì)算機(jī)斷層成像的內(nèi)容，并對(duì)關(guān)于小波的內(nèi)容進(jìn)行了較大修訂新增數(shù)據(jù)壓縮方面的內(nèi)容，包括新的壓縮技術(shù)、數(shù)字視頻壓縮、壓縮標(biāo)準(zhǔn)和水印給出了形態(tài)學(xué)重構(gòu)、灰度級(jí)形態(tài)學(xué)和現(xiàn)代形態(tài)學(xué)算法的新范疇新增Marr-Hildreth和坎尼邊緣檢測(cè)算法的內(nèi)容擴(kuò)展了圖像閾值內(nèi)容配套網(wǎng)站包含部分習(xí)題解答、關(guān)于實(shí)驗(yàn)方案的建議、授課PPT和授課指南等。
數(shù)字圖像處理-第三版-英文版 內(nèi)容簡(jiǎn)介
本書(shū)是數(shù)字圖像處理經(jīng)典著作，作者在對(duì)32個(gè)國(guó)家的134個(gè)院校和研究所的教師、學(xué)生及自學(xué)者進(jìn)行廣泛調(diào)查的基礎(chǔ)上編寫(xiě)了第三版。除保留了第二版的大部分主要內(nèi)容外，還根據(jù)收集的建議從13個(gè)方面進(jìn)行了修訂，新增400多幅圖像、200多個(gè)圖表和80多道習(xí)題，同時(shí)融入了近年來(lái)本科學(xué)領(lǐng)域的重要發(fā)展，使本書(shū)具有相當(dāng)?shù)奶厣c先進(jìn)性。全書(shū)分為12章，包括緒論、數(shù)字圖像基礎(chǔ)、灰度變換與空間濾波、頻域?yàn)V波、圖像復(fù)原與重建、彩色圖像處理、小波及多分辨率處理、圖像壓縮、形態(tài)學(xué)圖像處理、圖像分割、表現(xiàn)與描述、目標(biāo)識(shí)別。
數(shù)字圖像處理-第三版-英文版 目錄
preface
acknowledgments
the book web site
about the authors
1 introduction
1.1 what is digital image processing?
1.2 the origins of digital image processing
1.3 examples of fields that use digital image processing
1.4 fundamental steps in digital image processing
1.5 components of an image processing system
summary
references and further reading
2 digital image fundamentals
2.1 elements of visual perception
2.2 light and the electromagnetic spectrum
2.3 image sensing and acquisition
2.4 image sampling and quantization
2.5 some basic relationships between pixels
2.6 an introduction to the mathematical tools used in digital image processing
summary
2.5 some basic relationships between pixels
2.5.1 neighbors of a pixel
2.5.2 adjacency, connectivity, regions, and boundaries
2.5.3 distance measures
2.6 an introduction to the mathematical tools used in digital image processing
2.6.1 array versus matrix operations
2.6.2 linear versus nonlinear operations
2.6.3 arithmetic operations
2.6.4 set and logical operations
2.6.5 spatial operations
2.6.6 vector and matrix operations
2.6.7 image transforms
2.6.8 probabilistic methods
summary
references and further reading
problems
3 intensity transformations and spatial filtering
3.1 background
3.1.1 the basics of intensity transformations and spatial filtering
3.1.2 about the examples in this chapter
3.2 some basic intensity transformation functions
3.2.1 image negatives
3.2.2 log transformations
3.2.3 power-law (gamma) transformations
3.2.4 piecewise-linear transformation functions
3.3 histogram processing
3.3.1 histogram equalization
3.3.2 histogram matching (specification)
3.3.3 local histogram processing
3.3.4 using histogram statistics for image enhancement
3.4 fundamentals of spatial filtering
3.4.1 the mechanics of spatial filtering
3.4.2 spatial correlation and convolution
3.4.3 vector representation of linear filtering
3.4.4 generating spatial filter masks
3.5 smoothing spatial filters
3.5.1 smoothing linear filters
3.5.2 order-statistic (nonlinear) filters
3.6 sharpening spatial filters
3.6.1 foundation
3.6.2 using the second derivative for image sharpening--the laplacian
……
acknowledgments
the book web site
about the authors
1 introduction
1.1 what is digital image processing?
1.2 the origins of digital image processing
1.3 examples of fields that use digital image processing
1.4 fundamental steps in digital image processing
1.5 components of an image processing system
summary
references and further reading
2 digital image fundamentals
2.1 elements of visual perception
2.2 light and the electromagnetic spectrum
2.3 image sensing and acquisition
2.4 image sampling and quantization
2.5 some basic relationships between pixels
2.6 an introduction to the mathematical tools used in digital image processing
summary
2.5 some basic relationships between pixels
2.5.1 neighbors of a pixel
2.5.2 adjacency, connectivity, regions, and boundaries
2.5.3 distance measures
2.6 an introduction to the mathematical tools used in digital image processing
2.6.1 array versus matrix operations
2.6.2 linear versus nonlinear operations
2.6.3 arithmetic operations
2.6.4 set and logical operations
2.6.5 spatial operations
2.6.6 vector and matrix operations
2.6.7 image transforms
2.6.8 probabilistic methods
summary
references and further reading
problems
3 intensity transformations and spatial filtering
3.1 background
3.1.1 the basics of intensity transformations and spatial filtering
3.1.2 about the examples in this chapter
3.2 some basic intensity transformation functions
3.2.1 image negatives
3.2.2 log transformations
3.2.3 power-law (gamma) transformations
3.2.4 piecewise-linear transformation functions
3.3 histogram processing
3.3.1 histogram equalization
3.3.2 histogram matching (specification)
3.3.3 local histogram processing
3.3.4 using histogram statistics for image enhancement
3.4 fundamentals of spatial filtering
3.4.1 the mechanics of spatial filtering
3.4.2 spatial correlation and convolution
3.4.3 vector representation of linear filtering
3.4.4 generating spatial filter masks
3.5 smoothing spatial filters
3.5.1 smoothing linear filters
3.5.2 order-statistic (nonlinear) filters
3.6 sharpening spatial filters
3.6.1 foundation
3.6.2 using the second derivative for image sharpening--the laplacian
……
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數(shù)字圖像處理-第三版-英文版 節(jié)選
《數(shù)字圖像處理(第3版)(英文版)》是數(shù)字圖像處理經(jīng)典著作，作者在對(duì)32個(gè)國(guó)家的134個(gè)院校和研究所的教師、學(xué)生及自學(xué)者進(jìn)行廣泛調(diào)查的基礎(chǔ)上編寫(xiě)了第三版。除保留了第二版的大部分主要內(nèi)容外，還根據(jù)收集的建議從13個(gè)方面進(jìn)行了修訂，新增400多幅圖像、200多個(gè)圖表和80多道習(xí)題，同時(shí)融入了近年來(lái)本科學(xué)領(lǐng)域的重要發(fā)展，使《數(shù)字圖像處理(第3版)(英文版)》具有相當(dāng)?shù)奶厣c先進(jìn)性。全書(shū)分為12章，包括緒論、數(shù)字圖像基礎(chǔ)、灰度變換與空間濾波、頻域?yàn)V波、圖像復(fù)原與重建、彩色圖像處理、小波及多分辨率處理、圖像壓縮、形態(tài)學(xué)圖像處理、圖像分割、表現(xiàn)與描述、目標(biāo)識(shí)別。
數(shù)字圖像處理-第三版-英文版 作者簡(jiǎn)介
RafaelC.Gonzalez，美國(guó)田納西大學(xué)電氣和計(jì)算機(jī)工程系教授，田納西大學(xué)圖像和模式分析實(shí)驗(yàn)室、機(jī)器人和計(jì)算機(jī)視覺(jué)實(shí)驗(yàn)室的創(chuàng)始人，IEEE會(huì)士。研究領(lǐng)域?yàn)槟Ｊ阶R(shí)別、圖像處理和機(jī)器人。其著作已在世界范圍內(nèi)500大學(xué)和研完所采用。
Richard E.Woods，美國(guó)田納西大學(xué)電氣工程系獲博士學(xué)位，IEEE會(huì)員。
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