digital image processing gonzalez pdf chapter 3

... gray-level PDF of an image Ỹ Trang 40 606 Chapter I0 # Image Segmentation EXAMPLE 10.13: Use of optimum thresholding for image segmentation ab FIGURE 10.33 A cardioangiogram before and after preprocessing ... 10.30(d) With the exception of two subimages, the improvement over Fig 10.30(b) is Trang 36 602 Chapter 10 z: ab eid FIGURE 10.30 (a) Original image (b) Result of global thresholding (c) Image ... masks of size 3 X 3 is given by G, = (z + % + 2) - (a ++ zs) (10.1-8) See inside front cover Trang 12 578 Chapter 10 đ Image Segmentation a be de flg FIGURE 10.8 A 3 X 3 region of an image (the

Ngày tải lên: 08/05/2014, 16:29

... summation are m and n By combining the results of Eqs (4.2-35) and (4.2-36) with Eq (4.2-31), we obtain (4.2-36) Trang 18 164 Chapter 4s Image Enhancement in the Frequency Domain f(x,y) *h(x, y) ... Trang 38 184 Chapter 4 Image Enhancement in the Frequency Domain * II ›aa8388Đ abe FIGURE 4.25 Results of highpass filtering the image in Fig 4.11(a) using a BHPF of order 2 with Dy = 15, 30, ... age of the displayed image cannot be zero because the image has to have Trang 14 160 Chapter 4 ® Image Enhancement in the Frequency Domain FIGURE 4.6 Result of filtering the image in Fig 4.4(a)

Ngày tải lên: 08/05/2014, 15:46

... pseudocolor image in Fig 6.28(b), bright red depicts material newly ejected EXAMPLE 6.6: Color coding of multispectral images Trang 31312 Chapter 6 @ Color Image Processing FIGURE 6.27 (a)—(d) Images ... pixel below the plane will be coded with the other Levels that lie on the plane 303 Trang 23304 Chapter 6 m@ Color Image Processing Slicing plane (Black) 0 x FIGURE 6.18 Geometric interpretation ... gray-scale events in an image or sequence of images As noted Trang 226.3 # Pseudocolor Image Processing ab ed FIGURE 6.17 (a)—(c) Modified HSI component images (d) Resulting RGB image (See Fig 6.16

Ngày tải lên: 08/05/2014, 15:59

... completely unpredictable and no Trang 23430 Chapter 8 @ Image Compression 8.3.3 Fundamental Coding Theorems The overall mathematical framework introduced in Section 8.3.2 is based on the model shown ... entropy of an image is not necessarily the minimum code rate for the image The reason is that pixels in an image generally are not Statistically independent As noted Trang 33440 Chapter 8 @ Image Compression ... messages 000 and 111 are used The a, Symbols Eq.(83-14) Eq.(83-1) Eq.(.3-169) Word Length Trang 258.3 & Elements of Information Theory 433 probability that no errors will occur during the

Ngày tải lên: 08/05/2014, 16:10

... coverage of digital image processing with an introduction to techniques for object recognition As noted in Section 1.1, we have defined the scope covered by our treatment of digital image processing ... vectors m, = (4.3, 1.3)" and m, = (1.5, 0.3) From Eq (12.2-5), the decision functions are versicolor and Iris setosa The dark dot and square are the means. Trang 8700 Chapter 12 #@ Object ... 12704 Chapter 12 mi Object Recognition See inside front cover Consult the book web site for a brief review of prob- ro terms in wis less than 132 (a subimage of approximately 13 x 13 pixels),

Ngày tải lên: 08/05/2014, 16:48

... recommend coverage of Sections 3.2.1 through 3.2.2u Section 3.3.1u Section 3.4u Section 3.5u Section 3.6u Section 3.7.1, 3.7.2 (through Example 3.11), and 3.7.3 Section 3.8 can be assigned as independent ... obtain ±(q3 ; a) = h(abaa; R+ ; 3) = h(abbaa; R+ ; 3) = h(abbbaa; R+ ; 3) = h(abbbbaa; R+ ; 3) = q; ±(q3; b) = h(abab; R+ ; 3) = h(abbab; R+ ; 3) = h(abbbab; R+ ; 3) = h(abbbbab; R+ ; 3) = q; ; ... h(abba; R+ ; 3) = q3; ±(q2 ; b) = h(abb; R+ ; 3) = q2 ; and, also, ±(q2 ; b) = h(abbb; R+ ; 3) = q4 : Next, q3 = h(aba; R+ ; 3) = h(abba; R+ ; 3) = h(abbba; R+ ; 3) = h(abbbba; R+ ; 3), from which

Ngày tải lên: 05/06/2014, 11:40

... FIGURE 3.5-14 YIQ components of the gamma corrected dolls_gamma color image. (a) Y, 0.000 to 0.994 (c) Q, = 0.147 to 0.169 (b) l, −0.276 to 0.347 I = –Usin33°+Vcos33° Q = Ucos33°+Vsin33° Trang 23(3.5-18b) ... systems These color signal equations are (3.4-3a)(3.4-3b)(3.4-3c)where 2 ( ) 01 A2( )W˜ -0 3 ( ) 001 A3( )W˜ - = Trang 2Matrix equations 3.4-1 to 3.4-3 may be solved jointly to obtain a relationshipbetween ... matrixsatisfies the relation (3.5-23)where , , are the eigenvalues of the covariance matrix and (3.5-24a)(3.5-24b)(3.5-24c)(3.5-24d)(3.5-24e)(3.5-24f) In Eq 3.5-23, is the expectation operator

Ngày tải lên: 14/08/2014, 01:22

... Trang 2Digital Image Processing(Bernd Jähne) Chương 8: 3 – D IMAGING 8.1 Nền tảng Trong chương này chúng ta sẽ thảo luận về ... and k3 denote the radial and axial components of the wave number vector, respectively Two severe limitations of 3-D imaging Hai điểm hạn chế phức tạp của tạo ảnh 3-D bám theo hình dạng của 3-D ... tăng khoảng cách Điều này có thể thấy rõ ràng hơn bằng sử dụng luật truyền sai (Phần 3.3.3) để tính toán sai số X3: Trong đó, độ nhạy tuyệt đối cho ước lượng độ sâu ra tăng, với khoảng cách được

Ngày tải lên: 25/06/2022, 10:10

... REPORT DIGITAL IMAGE PROCESSING IMAGE FUNDAMENTAL (Week: 1-2-3-4) Instructor: Prof Tran Thi Thanh Hai Hanoi, 2023 Trang 23 The First Step in Image Processing 3 3.1 Import library 3 3.2 Reading ... reading the image using cv2.imread(), it would load the image as a grayscale image Grayscale images have only one channel, where each pixel is Trang 5image (3 channels) to a grayscale image (1 channel) ... gateway to a world of image processing possibilities: 1 [ im port cv2 ] 3 [ i mpo rt c v2 as cv ] OpenCV is the Swiss Army knife of image processing, offering the ability to read images, apply filters,

Ngày tải lên: 30/05/2024, 14:55

... To_Gamma (image , 1.5) 13 cv2_imshow ( gamma_img ) 3.3 Histogram Equalization 3.3.1 Histogram Equalization by My Fuction We have the result Figure 3.13: Original Image Figure 3.14: Image Applying ... 7 Trang 8Chapter 3Transformation 3.1 Linear transform 3.1.1 Linear Transfrom using Numpy We have the result Trang 9Figure 3.1: Original ImageFigure 3.2: Original Histogram Figure 3.3: Image After ... Function 13 3.2.2 Gamma Correction using OpenCV 14 3.3 Histogram Equalization 15 3.3.1 Histogram Equalization by My Fuction 15 3.3.2 Histogram Equalization using OpenCV 17 3.4 Transformation

Ngày tải lên: 18/06/2024, 17:25

... 1.3 Image File Formats 1.3.1 Raster versus Vector Data 1.3.2 Tagged Image File Format (TIFF) 1.3.3 Graphics ... ACM 27(3), 236–239 (1984) Index Symbols ⊕ (dilation operator) 162, 234 (erosion operator) 162, 234 ? (operator) 215 ∗ (convolution operator) 110, 234 ∧ (logic operator) 72, 74 48, 64, 234 ¬ (logical ... Sebastopol, CA, second ed (1996) [33] T Pavlidis “Algorithms for Graphics and Image Processing” Computer Science Press / Springer-Verlag, New York (1982) [34] W S Rasband “ImageJ” U.S National Institutes

Ngày tải lên: 05/06/2014, 11:55

... parts, "stick-like" (which can be thinned to arcs or curves) and "plate-like" (which can be thinned to one-voxel-thick "sheets") The use of thin ("sheet-like") connected ... 287-300 6 R Lumia, "A New Three-Dimensional Connected Components Algorithm", Computer Vision, Graphics, and Image Processing, Vol 23, 1983, pp 207-217 7 M Manohar and H.K Ramapriyan, "Connected ... 435, 1983, 5 R Lumia, L.G Shapiro, and 0 Zuniga, "A New Connected Components Algorithm for Virtual Memory Computers," Computer Vision, Graphics, and Image Processing, Vol 22, 1983,

Ngày tải lên: 05/06/2014, 11:59

... umbrella of ‘digital image processing’ The purpose of this book is to provide an insight on the possibilities offered by digital image processing algorithms in various fields Digital image processing ... Miura, H & Sonehara, T (1993) Wavefront control using liquid-crystal devices, Appl.Opt., Vol.32, No.23, pp.4323-4329 Asim, B (2008) Stereo Vision, InTech, ISBN: 978-953-7619-22-0, Vienna, Austria ... Trang 1DIGITAL IMAGE PROCESSING Edited by Stefan G Stanciu Trang 2Digital Image Processing Edited by Stefan G Stanciu As for readers, this

Ngày tải lên: 28/06/2014, 08:20

... umbrella of ‘digital image processing’ The purpose of this book is to provide an insight on the possibilities offered by digital image processing algorithms in various fields Digital image processing ... Miura, H & Sonehara, T (1993) Wavefront control using liquid-crystal devices, Appl.Opt., Vol.32, No.23, pp.4323-4329 Asim, B (2008) Stereo Vision, InTech, ISBN: 978-953-7619-22-0, Vienna, Austria ... Trang 1DIGITAL IMAGE PROCESSING Edited by Stefan G Stanciu Trang 2Digital Image Processing Edited by Stefan G Stanciu As for readers, this

Ngày tải lên: 29/06/2014, 08:20

... these smoothers, it is worth comparing to the original binarized image “cells” inFig 4.13(a) Trang 390 CHAPTER 4 Basic Binary Image ProcessingThe reader may wonder whether further sequencing of ... 0, 1, 1, 1, 1, 3, 3, 3, 4, 4, 5, 4 in integer format, or 001, 000, 001, 001, 001, 001, 011, 011, 011, 100, 100, 101, 100 in binary format Trang 996 CHAPTER 4 Basic Binary Image Processingm0 5 ... applying(5.11) 5.3.3 Magnitude and Phase of DSFT The DSFT F of an image f is generally complex-valued As such it can be written in the form F(U ,V ) ⫽ R(U ,V ) ⫹ jI(U ,V ), (5.13) Trang 15102 CHAPTER

Ngày tải lên: 01/07/2014, 10:43

... illustrated inFig 23.20for 1,698 fingerprint images in the NIST 9 database[41]and in Fig 23.13for 490 images of 70 individuals in the MSU database Some sample points Trang 3672 CHAPTER 23 Fingerprint ... underillumination and pose variations[28, 30–33, 35, 39, 56] Face recognition under variations in expression[57]and aging[58–61]have been investigated too In this chapter, we attempt to present some ... Raton, FL, 2001. [30] D Maltoni, D Maio, A K Jain, and S Prabhakar Handbook of Fingerprint Recognition Springer Verlag, New York, 2003. Trang 7676 CHAPTER 23 Fingerprint Recognition[31] B M Mehtre

Ngày tải lên: 01/07/2014, 10:44

... 1.2. WHAT IS IMAGE PROCESSING? 3 (a) The original image (b) After removing noise Figure 1.2: Removing noise from an image (a) The original image (b) After removing the blur Figure 1.3: Image deblurring ...  2 ! 2 ! 2 1.4 IMAGES AND DIGITAL IMAGES 9 X-ray source Object Detectors Figure 1.12: X-ray tomography )   ! 2 ¡    ¢© ¡    Figure 1.13: An image as a function 10 CHAPTER 1 INTRODUCTION ... vital for the development and implementation of image processing techniques Figure 1.14: The image of figure 1.13 plotted... Usually A digital image differs from a photo in that the , , and

Ngày tải lên: 23/07/2014, 00:24

... Morphological Image Processing Exercises, 730 Edge Detection Exercises, 7 32 Image Feature Extraction Exercises, 733 Image Segmentation Exercises, 734 Shape Analysis Exercises, 735 Image Detection ... with digital, as opposed to analog, image processing techniques It should be remembered that most digital images represent continuous natural images Exceptions are artificial digital images ... Exercises, 735 Appendix... standard library of image processing operators and associated utilities.” Again, for a fourth time, a new edition of Digital Image Processing is offered to the image

Ngày tải lên: 14/08/2014, 01:22

... (a) 13 23 0 0 0 13 0 0 32 0 33 0 22 32 23 33 12 22 13 23 0 12 0 13 31 0 32 0 21 31 22 32 11 21 12 22 0 11 0 12 0 0 31 0 0 0 21 31 0 0 11 21 0 0 0 11 11 21 31 12 22 32 13 23 33 Trang 40CIRCULANT ... 3; (b) Gaussian-shaped impulse array, M = 16, N = 8, L = 9. (b) 11 21 31 0 0 11 21 31 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 22 32 0 0 12 22 32 11 21 31 0 0 11 21 31 13 23 33 0 0 13 23 33 0 13 23 ... 11 21 31 13 23 33 0 0 13 23 33 0 13 23 33 12 22 32 0 0 12 22 32 13 23 33 0 11 21 31 12 22 32 13 23 33 Trang 32FINITE-AREA SUPERPOSITION AND CONVOLUTION 173example, M = 16, N = 8, L = 9, and the

Ngày tải lên: 14/08/2014, 02:20

... 0.136 0.135 0.135 0.134 0.013 0.026 0.038 0.051 0.063 0.076 0.088 0.100 0.112 0.125 0.137 0.136 0.135 0.135 0.134 0.013 0.026 0.039 0.051 0.064 0.076 0.088 0.100 0.113 0.125 0.137 0.136 0.135 ... 0.136 0.135 0.135 0.134 0.013 0.026 0.038 0.051 0.063 0.076 0.088 0.100 0.112 0.125 0.137 0.136 0.135 0.135 0.134 0.013 0.026 0.039 0.051 0.064 0.076 0.088 0.100 0.113 0.125 0.137 0.136 0.135 ... 0.136 0.135 0.135 0.134 0.013 0.026 0.039 0.051 0.064 0.076 0.088 0.101 0.113 0.125 0.137 0.136 0.135 0.134 0.134 0.771 0.721 0.673 0.624 0.578 0.532 0.486 0.438 0.387 0.334 0.278 0.273 0.266 0.257

Ngày tải lên: 14/08/2014, 02:20