digital image processing gonzalez 3rd edition chapter 3 ppt

... ẢNH 3D Đề tài đăng ký dịch: Chương 8: – D IMAGING (quyển ? ?Digital Image Processing? ??) Nhóm gồm: - Mai Duy Khánh: MSHV: CB100645 Dịch phần: 8.1 8.2 - Cao Văn Thế : MSHV:CB110796 Dịch phần: 8 .3, ... (8 .34 ) Không thể tách bên ngồi Eq.(8 .32 ) qua góc ϑ g(x) = (8 .35 ) Tóm lại chiếu lại lọc chiếu qua tất hƣớng hình thức hình ảnh đƣợc tái tạo lại.Lƣu ý hồ sơ lọc chiếu P’(r, ϑ) Eq.(8 .35 ) phải 34 ... với việc phải gia tăng khoảng cách Điều thấy rõ ràng sử dụng luật truyền sai (Phần 3. 3 .3) để tính tốn sai số X3: Trong đó, độ nhạy tuyệt đối cho ƣớc lƣợng độ sâu tăng, với khoảng cách đƣợc bình

Ngày tải lên: 25/06/2022, 10:10

... 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 ... 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 ... 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 ›aa 838 8Đ 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 31 9 FIGURE 6 .32 Complements on the color circle Trang 39 32 0 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 31 4 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 31 8 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

... Eq.( 83- 14) Eq.( 83- 1) Eq.( .3- 169) Word Length First Extension đi a 2 /3 0.59 1 0 1 Q a 1 /3 1.58 2 1 1 Second Extension đi aya, 4/9 vay 2 0 1 ay aa & #34 ; 2/9 217 3 10 2 a3 aya, 2/9 31 7 3 110 3 ... Fundamentals 4 13 t% PÁr Code 1 1,(7,) Code 2 L(r,) ro = 0 0.19 000 3 11 2 r,=1/7 0.25 001 3 01 2 ry = 2/7 0.21 010 3 10 2 r; = 3/ 7 0.16 011 3 001 3 rg = 4/7 0.08 100 3 0001 4 rs = 5/7 0.06 101 3 00001 ... Error-Free Compression 447 © Consider the following 4 x 4, 8-bit image of a vertical edge: 39 39 126 126 39 39 126 126 39 39 126 126 39 39 _ 126 126 Table 8.7 details the steps involved in coding its

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 ... spectively, have sample mean vectors m, = (4 .3, 1 .3) & #34 ; and m, = (1.5, 0 .3) From Eq (12.2-5), the decision functions are d,(x) = xỖm, Ở 2 mẶm, 43x, + 13x, Ở 10.1 0 Iris versicolor 9 Tris setosa ... of their degree of similarity: Trang 39 12 .3 ụ Structural Methods 733 This distance satisfies the following properties: D(a, b) 20 D(a,b) =0 iffa=b (12 .3- 3) D(a, c) = max{ D(a, b), D(b, c)] Either

Ngày tải lên: 08/05/2014, 16:48

... 11 m 12 m 13 u 11 u 12 u 13 m 11 m 21 m 21 m 22 m 23 u 12 u 22 u 23 m 12 m 22 m 32 m 31 m 32 m 33 u 13 u 23 u 33 m 13 m 23 λ1 m 31 m 33 = 0 0 0 λ2 0 0 0 3 (3. 5- 23) where λ 1 ... 0.20658 636 0. 133 28947 0.17701522 0.81 232 418 0.01066060 0.02042971 1.06858510 0.41098519 R C G C B C = R C G C B C 2.8 437 3542 0.50 732 308 0. 935 431 13? ?? 0. 639 65541– 1.16041 034 0.17 735 107 1.521781 23 3.04 235 208– ... T 3 W ˜ ()Δ 13 ++= Δ 2 T 1 W ˜ ()Δ 21 T 2 W ˜ ()Δ 22 T 3 W ˜ ()Δ 23 ++= Δ 3 T 1 W ˜ ()Δ 31 T 2 W ˜ ()Δ 32 T 3 W ˜ ()Δ 33 ++= Δ 11 t 2 P ˜ 2 ()t 3 P ˜ 3 ()t 3 P ˜ 2 ()t 2 P ˜ 3 ()–= Δ 12 t 3 P

Ngày tải lên: 14/08/2014, 01:22

... REPORT DIGITAL IMAGE PROCESSINGIMAGE FUNDAMENTAL (Week: 1-2 -3- 4)Instructor: Prof Tran Thi Thanh HaiHanoi, 2023Trang 23. 2 Reading and Loading of an Image: cv2.imread() 43. 3 Display an image: ... containing the image data.1 [ cv2 i mrea d ( path , f la g ) ]3 pri nt (& #34 ; Im ag e read su c ce s s fu l l y & #34 ;)4 else :5 pri nt (& #34 ; Un ab le to r ead the im age & #34 ;)Output: Image read ... reading the image using cv2.imread(), it wouldload the image as a grayscale image Grayscale images have only one channel, where each pixel isTrang 5image (3 channels) to a grayscale image (1 channel)

Ngày tải lên: 30/05/2024, 14:55

... ENGINEERINGASSIGNMENT REPORTDIGITAL IMAGE PROCESSINGIMAGE FUNDAMENTAL (Week: 1-2 -3- 4)Instructor: Prof Tran Thi Thanh HaiStudent ID: 202 135 84Hanoi, 2023Trang 23. 1.1 Linear Transfrom using Numpy 83. 1.2 Linear ... Transfrom using OpenCV 1 13. 2 Gamma correction 133 .2.1 Gamma Correction by My Function 133 .2.2 Gamma Correction using OpenCV 1 43. 3 Histogram Equalization 1 53. 3.1 Histogram Equalization ... Value ’ )35 plt ylab el ( ’ Frequency ’ )36 plt show ()Trang 1 13. 1.2Linear Transfrom using OpenCVWe have the result.Figure 3. 5: Original ImageFigure 3. 6: Original HistogramFigure 3. 7: Image After

Ngày tải lên: 18/06/2024, 17:25

... food 3. 1 Presentation of test schedules 3. 2 Microbiological criteria 3. 3 Animal feeds 3. 4 Baby foods 3. 5 Bakery products and confectionery 3. 6 Brines 3. 7 Canned food 3. 8 Cereals and rice 3. 9 Coconut 3. 10 ... rice 3. 9 Coconut 3. 10 Dairy products 3. 11 Dried foods 3. 12 Eggs 3. 13 Fish, crustaceans and molluscan shellfish 3. 14 Frozen lollies 3. 15 Fruit juice, beverages and slush 3. 16 Gelatin 3. 17 Mayonnaise ... slush 3. 16 Gelatin 3. 17 Mayonnaise and sauces 3. 18 Meat 3. 19 Pre-prepared foods — chilled and frozen 3. 20 Surfaces and containers 3. 21 Vegetables and fruit 3. 22 Water This section lists the tests that

Ngày tải lên: 26/01/2014, 18:20

... as a photojournalist, author Derrick Story brings you Digital Photography Pocket Guide, 3rd Edition. For everyone who owns or will own a digital camera (and that pretty much means everyone!), ... ups, and night shots, to dealing with image resolution, archiving, and memory cards. Affordable and portable, Digital Photography Pocket Guide, 3rd Edition offers full-color photographs, ... Sharing Section 3. 1. Shooting Tips and Tricks: How Do I… Section 3. 2. Computer Tips and Tricks: How Do I… Section 3. 3. Where to Go from Here Chapter A. Appendix

Ngày tải lên: 15/02/2014, 19:20

... Costa Rica -đ8t#tggg2 230 0 039 995GG0000G0GG00:G00 030 3/080004g086060G00009 030 000 030 466000 030 00980089ã4082048 )30 0024 838 230 00 034 890009900900940)1 933 880088544400/G228002X0g00 030 046040900080000000ã6680009g82866à8046400g00g60040480804449806000909g0 039 996989 030 00800866 -38 0080806660 ... have,& #34 ; said Kim “We'll help you look for your dog,& #34 ; said Kevin “I have to find her,& #34 ; said Kim “I take her everywhere with me.& #34 ; “When was the last time you saw Fluffy?& #34 ; asked ... asked Kevin “Last night,& #34 ; said Kim “Fluffy was on my bed This morning she was gone.& #34 ; “Have you asked Mom?& #34 ; asked Dena “Not yet,& #34 ; said Kim “Where is she?& #34 ; “She's in the laundry

Ngày tải lên: 25/03/2014, 08:22

... 3. 6 ■ Fuzzy Techniques 133 3. 6 .3 Using Fuzzy Sets In this section we develop the foundation for using fuzzy sets, and then apply the concepts developed here to image processing in Sections 3. 6.5 ... the input image, g is the output image, and the param/val pairs are as listed in Table 3. 2 Example 3. 7: Using function adapthisteq ■ Figure 3. 12(a) is the same as Fig 3. 10(a) and Fig 3. 12(b) is ... high_in 3. 2 ■ Background 83 a b c d e f Figure 3. 3 (a) Original digital mammogram (b) Negative image (c) Result of expanding the intensities in the range [0.5, 0.75] (d) Result of enhancing the image

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 ... Glassner “Principles of Digital Image Synthesis” Morgan Kaufmann Publishers, San Francisco (1995) [17] R C Gonzalez and R E Woods Addison-Wesley, Reading, MA (1992) ? ?Digital Image Processing? ?? [18] R

Ngày tải lên: 05/06/2014, 11:55

... for the digital manipulation of digital images. The development of advanced, fast and reliable algorithms for digital image pre- and post- processing, digital image compression, digital image ... 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 ... Set-up for micro 3D measurement with laser probes incident from below the object 8 Digital Image Processing. .. range of 1~100m if we search round the 16 Digital Image Processing a)

Ngày tải lên: 28/06/2014, 08:20

... for the digital manipulation of digital images. The development of advanced, fast and reliable algorithms for digital image pre- and post- processing, digital image compression, digital image ... 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 ... Set-up for micro 3D measurement with laser probes incident from below the object 8 Digital Image Processing. .. range of 1~100m if we search round the 16 Digital Image Processing a)

Ngày tải lên: 29/06/2014, 08:20

... ϭ 121 3 120 ϩ 10 ϭ 130 121 ϩ 12.1 ϭ 133 .1 4 130 ϩ 10 ϭ 140 133 .1 ϩ 13. 3 ϭ 146.4 10 190 ϩ 10 ϭ 200 236 ϩ 24 ϭ 259 20 290 ϩ 10 ϭ 30 0 612 ϩ 61 ϭ 6 73 50 590 ϩ 10 ϭ 600 10,672 ϩ 1,067 ϭ 11, 739 100 ... 1,252,7 83 ϩ 125,278 ϭ 1 ,37 8,061 200 2,090 ϩ 10 ϭ 2,100 17,264,116,042 ϩ 1,726,411,604 ϭ 18,990,527,646 226 2 ,35 0 ϩ 10 ϭ 2 ,36 0 205,756,782,755 ϩ 20,575,678,275 ϭ 226 ,33 2,461, 030 TABLE 3. 2 Value ... answer to the first question is PV ϭ 100 11.102 10 ϭ $38 .55 CHAPTER 3 How to Calculate Present Values 41 1 0 Dollars 30 0 200 100 38 .55 2 3 4 5 6 7 8 9 10 11 Future time, years Growth at compound

Ngày tải lên: 06/07/2014, 08:20

... Robert Joseph Dole 19 23? ?? ▼▼ ◆ 19 23 Born, Russell, Kans. ❖ 19 43? ??48 Served in U.S. Army 1945 Earned Purple Heart after being seriously injured ▼▼ ◆◆ ◆ ◆ ◆◆ 1950– 53 Korean War 1961– 73 Vietnam War 1960–68 ... UPRISING OF A GREAT NATION . —SANFORD DOLE GALE ENCYCLOPEDIA OF AMERICAN LAW, 3RD E DITION 530 DOLE, SANFORD BALLARD In 18 93 Queen Liliuokalani refused to recog- nize the l imitations imposed upon ... Criminal Victimization in the United States, 2006. Other relative 35 .2% Spouse 30 .8% Ex-spouse 13. 6% Parent 7.4% Own child 13. 0% Total number of domestic violence victimizations: 715,440 ILLUSTRATION

Ngày tải lên: 06/07/2014, 21:22

... ignore (Commissioner v. Woods, 909 A.2d 37 2 [2006]). Two years later, a Kansas court reached the same conclusion (In re Colt, 39 Kan.App.2d 6 43, 1 83 P.3d 4 [2008]). Because several legal commentators ... products. It was organized on October 17, 1 933 , pursuant to an EXECUTIVE ORDER , as an agency of the United States. From October 17, 1 933 , to July 1, 1 939 , the CCC was managed and operated in close ... regulated by the state in which it operates. AP IMAGES GALE ENCYCLOPEDIA OF AMERICAN LAW, 3RD E DITION 32 COMMON (2) the QUANTUM MERUIT count; (3) the quantum vabelant count; and (4) the ACCOUNT

Ngày tải lên: 06/07/2014, 21:22

... under 20–29 30 ? ?39 40–49 50–59 60–69 70 and over 2% 16% 21% 23% 20% 9% 9% a Percentages are based on the total number of fraud complaints where consumers reported their age (126,659). 23% of consumers ... Crime Center (NW3C) launched the Internet Fraud Complaint Center, now known as IC3, which compiles data and offers tips on ways to avoid being defrauded. Accord- ing to the IC3 Annual Report ... Internet fraud accounted for $265 million in losses, a 33 .1 percent increase over the previous year. The average individual loss was $ 931 per victim. One of the most common types of fraud, accounting

Ngày tải lên: 06/07/2014, 21:22