數(shù)字圖像處理概論

內(nèi)容概要

　　《精編國(guó)家精品教材：數(shù)字圖像處理概論（英文縮編版）》是美國(guó)Alasdair McAndrew所著Introduction to Digital Image Processing with MATLAB一書的縮編版。按照我國(guó)60學(xué)時(shí)的教學(xué)要求縮編而成?！　】s編后的內(nèi)容充實(shí)，涵蓋了低層次圖像處理（圖像增強(qiáng)、圖像恢復(fù)）和高層次圖像處理（形態(tài)學(xué)、圖像分割、圖像表示與描述和圖像壓縮）的全部基礎(chǔ)內(nèi)容，習(xí)題和教材內(nèi)容結(jié)合緊密，便于學(xué)生鞏固所學(xué)知識(shí)。同時(shí)，縮編作者對(duì)原書部分難點(diǎn)進(jìn)行了注釋，幫助讀者更好地理解所學(xué)內(nèi)容?！　　毒巼?guó)家精品教材：數(shù)字圖像處理概論（英文縮編版）》可作為圖像處理專業(yè)課程本科生雙語(yǔ)教學(xué)教材。

書籍目錄

PREFACECHAPTER 1　Introduction1.1　hnages and Pictures1.2　What is Image Processing?1.3　Image Acquisition and Samplin~1.4　Images and Digital Images1.5　Some Applications1.6　Aspects of Image Processing1.7　An hnage-Processing Task1.8　Types of Digital Images1.9　Image File Sizes1.10　Image PerceptionExercisesCHAPTER 2　Images and MATLAB2.1　Grayscale Images2.2　RGB Images2.3　Indexed Color Images2.4　Data Types and Conversions2.5　Image Files and Formats2.6　Files in MATLABExercisesCHAPTER 3　Image Display3.1　Introduction3.2　Basics of Image Display3.3　The imshow Function3.4　Bit Planes3.5　Spatial Resolution3.6　Quantization mad DitheringExercisesCHAPTER 4　Point Processing4.1　Introduction4.2　Arithmetic Operations4.3　Histograms4.4　Lookup TablesExerciserCHAPTER 5　Neighborhood Processing5.1　Introduction5.2　Notation5.3　Filtering in MATLAB5.4　Frequencies ： Low-and High Pass Filters5.5　Gaussian Filters5.6　Edge Sharpening5.7　Nonlinear FiltersExercisesCHAPTER 6　Image Geometry6.1　Interpolation of Data6.2　hnage Interpolation6.3　General Interpolation6.4　Enlargement by Spatial Filtering6.5　Scaling Smaller6.6　RotationExercisesCHAPTER 7　The Fourier Transform7.1　Introduction7.2　The Two-Dimensional DFF7.3　Fourier Transforms in MATLAB7.4　Fourier Transforms of Images7.5　Filtering in the Frequency Domain7.6　Homomorphic FilteringExercisesCHAPTER 8　Image Restoration8.1　Introduction8.2　Noise8.3　Cleaning Salt and Pepper Noise8.4　Cleaning Gaussian Noise8.5　Removal of Periodic Noise8.6　Inverse Filtering8.7　Wiener FilteringExercisesCHAPTER 9　Image Segmentation9.1　Introduction9.2　Thresholding9.3　Applications of Thresholding9.4　Choosing an Appropriate Threshold Value9.5　Adaptive Thresholding9.6　Edge Detection9.7　Derivatives and Edges9.8　Second Derivatives9.9　The Canny Edge Detector……CHAPTER 10　Mathematical MorphologyCHAPTER 11　Image TopologyCHAPTER 12　Shapes and BoundariesCHAPTER 13　Color ProcassingCHAPTER 14　Image Coding and CompressdionBIBLIOGRAPHYTERMIOLOGIES USED IN THE BOOK

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