image segmentation in digital image processing by gonzalez

... either fixed- or floating-point processing. Most examples implemented in this book can run using fixed-point processing. Selecting C671x as Target Version invokes a floating-point implementation. If ... as displayed in the Slider window. Verify that the volume of the sine wave generated has increased. Press the up-arrow key again to continue increasing the slider, incrementing by 5 up to 30. ... Select GEL ặ Sine Gain ặ Gain. This should bring out the Slider window shown in Figure 1.7, with the minimum value of 10 set for the gain. 3. Press the up-arrow key to increase the gain value from...

Ngày tải lên: 15/03/2014, 17:20

... xix 1 Introduction 15 1.1 What Is Digital Image Processing? 15 1.2 The Origins of Digital Image Processing 17 1.3 Examples of Fields that Use Digital Image Processing 21 1.3.1 Gamma-Ray Imaging ... Imaging Modalities Are Used 34 1.4 Fundamental Steps in Digital Image Processing 39 1.5 Components of an Image Processing System 42 Summary 44 References and Further Reading 45 2 Digital Image ... Imaging 23 1.3.3 Imaging in the Ultraviolet Band 25 1.3.4 Imaging in the Visible and Infrared Bands 26 1.3.5 Imaging in the Microwave Band 32 1.3.6 Imaging in the Radio Band 34 1.3.7 Examples in...

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... characterized by infrequent access. Storage is measured in bytes (eight bits), Kbytes (one thousand bytes), Mbytes (one mil- lion bytes), Gbytes (meaning giga, or one billion, bytes), and Tbytes (meaning tera, ... regarding where image pro- cessing stops and other related areas, such as image analysis and computer vi- sion, start. Sometimes a distinction is made by defining image processing as a discipline in ... 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 image processing can take...

Ngày tải lên: 02/11/2012, 17:24

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Ngày tải lên: 23/12/2013, 03:16

... Digital Image Processing – Part II 54 Morphological Image Processing (a) (c) (d) (b) Digital Image Processing – Part II 87 Image Segmentation (a) (b) (c) (a) (b) Digital Image ... 66 66 67 69 70 71 71 72 74 76 77 77 79 80 81 83 83 84 85 86 89 90 91 91 91 Digital Image Processing – Part II 61 Morphological Image Processing Problems (7) Write down the equations of combined Boolean operations to produce the following binary images by using ... Digital Image Processing – Part II 62 Image Segmentation 3. Image Segmentation 3.1 Introduction Image segmentation is a fundamental component in many computer vision...

Ngày tải lên: 31/03/2014, 16:20

... S λ denotes the set of pixels in the training set of class λ  a training set consists in a representative region selected by the user Zoltan Kato: Markov Random Fields in Image Segmentation Zoltan ... Fields in Image Segmentation 49 References  Visit http://www.inf.u-szeged.hu/~kato/ Zoltan Kato: Markov Random Fields in Image Segmentation Zoltan Kato: Markov Random Fields in Image Segmentation 44 Combined ... Random Fields in Image Segmentation Zoltan Kato: Markov Random Fields in Image Segmentation 45 Inter-layer clique potential  Five pair-wise interactions between a feature and combined layer ...

Ngày tải lên: 24/04/2014, 13:13

... operations contrast saturation Changing illuminant SSIP08 Vienna, Austria 4.2. Color image filtering (11) ã Results of HSV conditional ordering median filter: Color image processing & analysis original noisy filtered ... adapt to local image statistics! ắ Other filtering approaches: morphological operators; wavelets; PDEs Color image processing & analysis State of the art in color image processing and analysis Lecturer: Assoc. ... filtering: Color image processing & analysis original noisy filtered SSIP08 Vienna, Austria 1. Human perception of color images (2) ã The human color vision system: Color image processing...

Ngày tải lên: 24/04/2014, 13:36

... concepts using state-of-the-art image processing software tools.The theoretical underpin- nings of the material in the following chapters are mainly from the leading text- book in the field: Digital Image ... Toolbox, † 1.1 † In the following discussion and in subsequent chapters we sometimes refer to Digital Image Processing by Gonzalez and Woods as “the Gonzalez- Woods book,” and to the Image Processing Toolbox ... of add-on products, including the Image Processing Toolbox, also are available. Areas of Image Processing Covered in the Book Every chapter in this book contains the pertinent MATLAB and IPT...

Ngày tải lên: 28/04/2014, 10:26

... than the number of intensity levels in f. 3.3 ■ Histogram Processing and Function Plotting 101 evident 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 in image contrast ... selected by using curly braces. function g = intrans(f, method, varargin) %INTRANS Performs intensity (gray-level) transformations. % G = INTRANS(F, 'neg') computes the negative of input image...

Ngày tải lên: 28/04/2014, 10:26

... 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 ... logarithmic response to input intensity, then if a signal grating contains a recording of an exponential sine wave, that is, , the human visual system can be linearized. A hypothetical MTF obtained by measuring ... 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,...

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