... pre-enhance-ment/analysis techniques as well as algorithmsfor interpretation of remotesensing images.Green et al. (2000) reviewed applying fields of remote sensingtechniquesin landuse detection,water monitoring ... of remote sensing application for land use mapping werementioned in this study. SPOT images image canbe used for landuse mapping in Mekong delta.The pre-analysis techniques of remote sensing images ... other images with the main images will give the better images. This processing is carried out by the fusion image method. In this paper, this method is applied to merge the SPOTimages (main images)...
... 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 ... Imaging 231.3.3 Imaging in the Ultraviolet Band 251.3.4 Imaging in the Visible and Infrared Bands 261.3.5 Imaging in the Microwave Band 321.3.6 Imaging in the Radio Band 341.3.7 Examples in...
... 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 ... 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 ... specif-ically for image processing. Although large-scale imageprocessing systems still are being sold for mas-sive imaging applications, such as processing of satellite images, the trend con-tinues toward...
... Correspondence 634.1 Point Pattern Matching 634.1.1 Matching using scene coherence 644.1.2 Matching using clustering 674.1.3 Matching using invariance 704.2 Line Matching 744.3 Region Matching 774.3.1 ... the amount of detail retained in an image. 2.1.1.1Median filtering Denoting the image before smoothing by f,theimageafter smoothing by¯f, assuming image f contains M × N pixels, and the filter ... Similarly, inverse filtering an image with filter T is the sameas inverse filtering the image with s and then with r. In the following, an efficientalgorithm for computing inverse filtering when the...
... Bilingual Machine Readable Dictionary. To appear in Natural Language Engineering. 4. Chen, Stanley F., (1993). Aligning Sentences in Bilingual Corpora Using Lexical Information, In Proceedings of ... on these techniques. Keywords: alignment, bilingual corpus, image processing 1. Introduction Aligned corpora have proved very useful in many tasks, including statistical machine translation, ... for enhancing and detecting the edges in an image. For noise or incomplete image, as in the case of LTP dotplot, a discrete convolution-based filter is effective in filling a missing or under-estimated...
... Digital ImageProcessing – Part II 54 Morphological Image Processing (a)(c)(d)(b) Digital ImageProcessing – Part II 87 Image Segmentation (a) (b)(c)(a)(b) Digital Image ... the structuring element, the final thinning is produced. Figure 33 Illustration of thinning for line detection. (a) A binary original image; (b) After 10 iterations of thinning; (c) After ... ImageProcessing – Part II 61 Morphological Image Processing Problems (7) Write down the equations of combined Boolean operations to produce the following binary images by using the images...
... 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 ... of add-on products, including the ImageProcessing Toolbox,also are available.Areas of ImageProcessing Covered in the BookEvery chapter in this book contains the pertinent MATLAB and IPT ... Color Image Processing. This chapter deals with pseudocolor andfull-color image processing. Color models applicable to digitalimage process-ing are discussed, and IPT functionality in color processing...
... 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 ... techniques are general in scope and have uses in numerous other branches of digitalimage processing. 3.1 BackgroundAs noted in the preceding paragraph, spatial domain techniques operate di-rectly...
... 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 ... 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, ... York•Chichester•Weinheim•Brisbane•Singapore•TorontoCONTENTSxiPART 6 IMAGEPROCESSING SOFTWARE 64120 PIKS ImageProcessing Software 64320.1 PIKS Functional Overview, 64320.2 PIKS Core Overview, 66321 PIKS Image Processing...