... xix1Introduction 151.1 What Is DigitalImage Processing? 151.2 The Origins of DigitalImageProcessing 171.3 Examples of Fields that Use DigitalImageProcessing 211.3.1 Gamma-Ray Imaging ... Imaging Modalities Are Used 341.4 Fundamental Steps inDigitalImageProcessing 391.5 Components of an ImageProcessing System 42Summary 44References and Further Reading 452 Digital Image ... 3156.5.2 Color Complements 3186.5.3 Color Slicing 3206.5.4 Tone and Color Corrections 3226.5.5 Histogram Processing 3266.6 Smoothing and Sharpening 3276.6.1 ColorImage Smoothing 3286.6.2 Color...
... processingin a digital domain. Color is used also in later chapters as thebasis for extracting features of interest in an image. Wavelets are the foundation for representing images in various ... gaining in importance be-cause of the significant increase in the use of digital images over the Internet.Chapter 5 covers a number of fundamental concepts incolor models and basic color processing ... single-headed arrows linking the processing modules.Although we do not discuss image display explicitly at this point, it is impor-tant to keep in mind that viewing the results of imageprocessing can take...
... either fixed- or floating-point processing. Mostexamples implemented in this book can run using fixed-point processing. SelectingC671x as Target Version invokes a floating-point implementation.If ... 35*/{ gain = gain_parameter; /*vary gain of sine*/}FIGURE 1.6. GEL file to slide through different gain values in the sine generation program(gain.gel).FIGURE 1.7. Slider window for varying the ... connectorson the board provide input and output: MIC IN for microphone input, LINE IN forline input, LINE OUT for line output, and HEADPHONE for a headphone output(multiplexed with line output). The status...
... DigitalImageProcessing – Part II 54 Morphological Image Processing (a)(c)(d)(b) DigitalImageProcessing – Part II 87 Image Segmentation (a) (b)(c)(a)(b) DigitalImage ... DigitalImageProcessing – Part II 62 Image Segmentation 3. ImageSegmentation 3.1 Introduction Image segmentation is a fundamental component in many computer vision ... 66666769707171727476777779808183838485868990919191 DigitalImageProcessing – Part II 61 Morphological Image Processing Problems (7) Write down the equations of combined Boolean operations to produce the following binary images by using...
... 6: ColorImage Processing. This chapter deals with pseudocolor andfull -color image processing. Color models applicable to digitalimage process-ing are discussed, and IPT functionality incolor ... conceptsusing state-of-the-art imageprocessing software tools.The theoretical underpin-nings of the material in the following chapters are mainly from the leading text-book in the field: DigitalImage ... Color Images 2276.5.1 ColorImage Smoothing 2276.5.2 ColorImage Sharpening 2306.6 Working Directly in RGB Vector Space 2316.6.1 Color Edge Detection Using the Gradient 2326.6.2 Image Segmentation...
... are used interchangeably when deal-ing with monochrome (i.e., gray-scale) images. When dealing with color images, the term intensity is used to denote a colorimage component in certain color ... than the number of intensity levels in f. 3.3 ■ Histogram Processing and Function Plotting 101evident in the histogram of this image, shown in Fig. 3.8(d). The increase in contrast is due ... transformation function in Fig. 3.9 maps a narrow range of intensity levels in the lower end of the input intensity scale to the full intensity range in the output image. The improvement inimage contrast...
... axis in one domain results in a contraction of the corre-sponding axis in the other domain plus an amplitude change.Shift. A positional shift in the input plane results in a phase shift in the ... classifying colors, it is convenient to regard colors as being points in some color solid, as shown in Figure 2.1-3. The Munsell system of color classification actually has a form similar in shape ... simplicity, a single image function is selected to repre-sent an image field in a physical imaging system. For a monochrome imaging sys-tem, the image function nominally denotes the image luminance,...
... 7Wavelets and Multiresolution Processing Chapter 7Wavelets and Multiresolution Processing DigitalImage Processing, 2nd ed. Digital Image Processing, 2nd ed.www.imageprocessingbook.comâ 2002 R. C. ... 7Wavelets and Multiresolution Processing Chapter 7Wavelets and Multiresolution Processing DigitalImage Processing, 2nd ed. Digital Image Processing, 2nd ed.www.imageprocessingbook.comâ 2002 R. C. ... 7Wavelets and Multiresolution Processing Chapter 7Wavelets and Multiresolution Processing DigitalImage Processing, 2nd ed. Digital Image Processing, 2nd ed.www.imageprocessingbook.comâ 2002 R. C....
... ofpoints inside the mask and oithe levels of the objects. In addition, let Sadenote theset of points in the averaging mask, Sothe set of points in the object, and Sbthe set ofpoints in ... Senior CourseA basic strategy in teaching a senior course is to focus on aspects of imageprocessing in which both the inputs and outputs of those processes are images. In the scope of a seniorcourse, ... missing graylevels the histogram equalization transformation function given above will be constant in the interval of the missing gray levels. Thus, in theory, the inverse mapping willnot be single-valued...