r can have any value in the range [0 1]. 3.2.4 Some Utility M-Functions for Intensity Transformations In this section we develop two custom M-functions that incorporate various aspects of the intensity transformations introduced in the previous three sec- tions. We show the details of the co[r]
3.7 Texture-based segmentation So far we have discussed segmentation methods based on image intensity; however, many images contain areas that are clearly differentiated by texture that could be used as a means of achieving segmentation. For example, in the kidney the cortex and me[r]
Image Restoration (1) 5.1 Introduction Image restoration concerns the removal or reduction of degradations which have occurred during the acquisition of the image. Such degradations may include noise , which are errors in the pixel values, or optical effects such as out of f[r]
ACKNOWLEDGMENTS We are indebted to numerous students in our undergraduate DSP course at Northeastern University who provided us a forum to test teaching ideas using MATLAB and who endured our constant emphasis on MATLAB. Many efficient MATLAB functions used in this book[r]
Digital Image Processing: Unitary Transforms - Duong Anh Duc present about Unitary Transforms; Energy conservation with unitary transforms; Karhunen-Loeve transform; Optimum energy concentration by KL transform; Basis images and eigenimages; Sirovich and Kirby method; Gender recognition using eigenf[r]
smaller than D. Each laser probe puts a mark on the object. From the image captured by camera C the absolute location of the object could be calculated using Eq.5 and the positions of the same mark on the pictures captured by camera C1 and C2 could then be predicated.[r]
ftp://ftp.x.org/contrib/applications/ImageMagick/. NIH Image NIH Image is available only in a Macintosh version. However, the popularity of NIH Image among Mac users and the breadth of features justify inclusion of the package in this survey. It reads/writes a small number o[r]
desired measurement accuracy (bias) and precision (CV). In a case of uncertainty, one should choose the higher of the two sampling densities (frequencies). 6. Noise Images acquired through modern sensors may be contaminated by a variety of noise sources. By noise we refer to[r]
The image produced by the range filter is shown in Figure 12.8, and a clear distinction in intensity level can now be seen between the three regions. This is also demonstrated in the histogram plots of Figure 12.9. The histogram of the original figure (upper plot) shows a single Gaus[r]
exercices corrigés” published in France by Hermès Science Publications in 2001 First published in Great Britain and the United States in 2006 by ISTE Ltd Translated by Antoine Hervier Apart from any fair dealing for the purposes of research or private study, or criticism[r]
The aim of this research is to (1) identify flooded area by using digital image processing approach; (2) to build GIS database about inundated area according to water lev[r]
lens aperture The lens opening, or iris, that admits light to the film or sensor. The size of the lens aperture is usually measured in f-stops. See also f-stop and iris. lens flare A feature of conventional photography that is both a bane and cre- ative outlet. It is an effect produced by<[r]
Indeed, signal, image, and video processing, computer vision, 3D modelling, and graphics technologies are nowa- days widely employed to capture, analyze, conserve, virtually or physically restore, document, classify, recognize, and render cultural artefacts. These include historic buil[r]
3. Object detection and target tracking The applications for the object detection and the target tracking were developed on the assumption that this sensor system will be installed in the autonomous mobile robot. Therefore, to execute those tasks, high speed execution and robustness are demande[r]
bi n a hi n th d ng shortG: a=2^(1/2)= 1.4142 không có nghĩa là giá tr c a a d ng l i ế ể ị ạ ị ủ ừ ạ ở 4 s sau d u ph y, theo ng m đ nh matlab tính toán v i hàng trăm s sau d u ph y c a ố ấ ẩ ầ ị ớ ố ấ ẩ ủ a. Đ thay đ i d ng hi n th s m c đ nh chúng ta vào ể ổ ạ[r]
teristics will defi ne the choir sound as being in a natural acoustic space, and this will not balance well with the drums and bass. An old trick used for “fattening” up the sound of a guitar involves double tracking the sound source, applying compression and expansion to one track, and then m[r]
- Do quá trình tái tạo ảnh là một quá trình phức tạp nên sẽ có sai số. sự khác biệt giữa hình ảnh tái tạo và hình ảnh gốc (phantom) sẽ được hiển thị trong ô “Error Image”. 3. Kết quả Sau đây là kết quả của một số hình ảnh được tái tạo đặc biệt là hình ảnh nhỏ mổ phỏng các nhiễu ảnh phụ[r]
If cach cell encompasses only one point on the boundary, the error in each cell be- tween the original boundary and the rubber-band approximation at most would be ⁄2đ, where đ is the min[r]