digital image processing gonzalez 3rd edition 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

... of the Trang 38 6.5 @ Color Transformations 319 FIGURE 6.32 Complements on the color circle Trang 39 320 Chapter 6 @ Color Image Processing transformation defined in Section 3.2.1 Note that ... then form a composite processed color image a b Trang 33 314 Chapter 6 m Color Image Processing ab FIGURE 6.29 Spatial masks for gray-scale and RGB color images from the individually processed ... same Figure 6.31(b) shows the result of applying any of the transformations Trang 37 318 Chapter 6 # Color Image Processing a b Gide FIGURE 6.31 Adjusting the intensity of an image using color

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

... is a digital mammogram image, f, showing a small lesion, and Fig 3.3(b) is the negative image, obtained using the command >> g1 = imadjust(f, [0 1], [1 0]); This process, which is the digital ... imadjust(f, stretchlim(f), [ ]); Figure 3.3(e) shows the result of performing this operation on Fig 3.3(a) serve the increase in contrast Similarly, Fig 3.3(f) was obtained using the com-mand Ob->> ... the book 3.3 Histogram Processing and Function Plotting Intensity transformation functions based on information extracted from image intensity histograms play a central role in image processing,

Ngày tải lên: 28/04/2014, 10:26

... 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

... 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 ... copies can be obtained from orders@intechweb.org Digital Image Processing, Edited by Stefan G Stanciu p cm ISBN 978-953-307-801-4 Trang 3free online editions of InTech Books and Journals can be ... 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

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 ... copies can be obtained from orders@intechweb.org Digital Image Processing, Edited by Stefan G Stanciu p cm ISBN 978-953-307-801-4 Trang 3free online editions of InTech Books and Journals can be ... 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

Ngày tải lên: 29/06/2014, 08:20

... 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 ... 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 ... 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

Ngày tải lên: 14/08/2014, 01:22

... 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

... (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

... of Eq 11.3-7 into Eq 11.3-3 yields a transmittance function (11.3-8a)where (11.3-8b) With the exposure model of Eq 11.3-1, the transmittance or reflection models ofEqs 11.3-3 and 11.3-5, and ... al “Image Enhancement via Adaptive Unsharp Masking,” IEEE Trans. Image Processing, 9, 3, March 2000,505–510. 38 A Rosenfeld, Picture Processing by Computer, Academic Press, New York, 1969. 39 ... Trans Image Processing, 12, 12, December 2003, 1591–1598. 41 O D Faugeras, “Digital Color Image Processing Within the Framework of a Human Visual Model,” IEEE Trans Acoustics, Speech, Signal Processing,

Ngày tải lên: 14/08/2014, 02:20

... order as (13.1-17) where for translation (13.1-18a) (13.1-18b) (13.1-18c) (13.1-18d) (13.1-18e) (13.1-18f) and for scaling (13.1-19a) (13.1-19b) (13.1-19c) (13.1-19d) (13.1-19e) (13.1-19f) and ... Vrhel, “Color Image Resolution Conversion,” IEEE Trans Image Processing, 14, 3, March 2005, 328–333 PART 5 IMAGE ANALYSIS Image analysis is concerned with the... set of images between ... Processing, 10, 3, March 2001, 393–402. 387 13 Digital Image Processing: PIKS Scientific Inside, Fourth Edition, by William K. Pratt Copyright © 2007 by John Wiley & Sons, Inc. GEOMETRICAL IMAGE MODIFICATION

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... Conference/Europe, Geneva, April 1983. 36, V Manian, R Vasquez and P Katiyar, “Texture Classification Using Logical Operators,” IEEE Trans Image Processing, 9, 10, October 2000, 1693–1703 37 M Clark and A C ... Laws, “Textured Image Segmentation,” USCIPI Report 940, University of SouthernCalifornia, Image Processing Institute, Los Angeles, January 1980 Trang 31REFERENCES 57732 R M Haralick, “Digital Step ... Intelligence, PAMI-2, 4, July 1980, 323– 332 6 R O Duda, “Image Data Extraction,” unpublished notes, July 1975 7 R M Haralick, K Shanmugan and I Dinstein, “Texture Features for Image Classifica-tion,” IEEE

Ngày tải lên: 14/08/2014, 02:20

... 1,028.31 1,104.36 1,213.73 Rotated spade 8,215.99 4,186.39 3,968.30 2,149.35 2,021.65 1,949.89 1,111.69 1,038.04 993.20 973.53 Heart 8,616.79 4,283.65 4,341.36 2,145.90 2,158.40 2,223.79 1,083.06 ... Average length 326 256 274 334 Average width 25.8 33.9 31.3 26.4 Circularity 0.25 0.42 0.36 0.25 ( a ) Spade ( b ) Heart ( c ) Diamond ( d ) Club SPATIAL MOMENTS 633 18.3.1. Discrete Image Spatial ... 1,105.73 1,156.35 Rotated heart 8,613.79 4,276.28 4,337.90 2,149.18 2,143.52 2,211.15 1,092.92 1,071.95 1,008.05 1,140.43 Magnified heart 34,523.13 17,130.64 17,442.91 8,762.68 8,658.34 9,402.25

Ngày tải lên: 14/08/2014, 02:20

... THỐNG TUYẾN TÍNH CỦA TẠO ẢNH 23 6.1 Hàm phân bố điểm 23 6.2 Hàm truyền đạt quang học 27 6.3 Hệ thống quang giới hạn nhiễu xạ 30 VII TỌA ĐỘ ĐỒNG NHẤT 34 Trang 3LỜI NÓI ĐẦU Đối với con người, ... CB110823 CB110858 Trang 2MỤC LỤCLỜI NÓI ĐẦU 2 I GIỚI THIỆU 3 II HỆ TỌA ĐỘ THỰC VÀ HỆ TỌA ĐỘ CAMERA 3 2.1 Định nghĩa 3 2.2 Phép xoay 5 III HÌNH ẢNH LÝ TƯỞNG: PHÉP CHIẾU PHỐI CẢNH 7 3.1 Pinhole ... Sách “Digital Image Processing” của tác giả Bernd Jähne Với 3 thành viên, chúng em đã phân công tìm hiểu đề tài như sau: - Nguyễn Ngọc Anh: Phần I ÷ Phần IV.2 - Tô Văn Hùng: Phần IV.3 ÷ Phần

Ngày tải lên: 07/11/2014, 18:21