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Дисертації з теми "Image enhancement"

Автор: Grafiati

Опубліковано: 4 червня 2021

Оновлено: 25 липня 2025

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1

Karelid, Mikael. "Image Enhancement over a Sequence of Images." Thesis, Linköping University, Department of Electrical Engineering, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-12523.

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<p>This Master Thesis has been conducted at the National Laboratory of Forensic Science (SKL) in Linköping. When images that are to be analyzed at SKL, presenting an interesting object, are of bad quality there may be a need to enhance them. If several images with the object are available, the total amount of information can be used in order to estimate one single enhanced image. A program to do this has been developed by studying methods for image registration and high resolution image estimation. Tests of important parts of the procedure have been conducted. The final results are satisfying

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2

Richardson, Richard Thomas. "Image Enhancement of Cancerous Tissue in Mammography Images." NSUWorks, 2015. http://nsuworks.nova.edu/gscis_etd/39.

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This research presents a framework for enhancing and analyzing time-sequenced mammographic images for detection of cancerous tissue, specifically designed to assist radiologists and physicians with the detection of breast cancer. By using computer aided diagnosis (CAD) systems as a tool to help in the detection of breast cancer in computed tomography (CT) mammography images, previous CT mammography images will enhance the interpretation of the next series of images. The first stage of this dissertation applies image subtraction to images from the same patient over time. Image types are defined

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3

Ozyurek, Serkan. "Image Dynamic Range Enhancement." Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613603/index.pdf.

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In this thesis, image dynamic range enhancement methods are studied in order to solve the problem of representing high dynamic range scenes with low dynamic range images. For this purpose, two main image dynamic range enhancement methods, which are high dynamic range imaging and exposure fusion, are studied. More detailed analysis of exposure fusion algorithms are carried out because the whole enhancement process in the exposure fusion is performed in low dynamic range, and they do not need any prior information about input images. In order to evaluate the performances of exposure fusion algor

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4

Chana, Deeph S. "Image restoration exploiting statistical models of the image capture process." Thesis, King's College London (University of London), 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.246886.

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5

Tummala, Sai Virali, and Veerendra Marni. "Comparison of Image Compression and Enhancement Techniques for Image Quality in Medical Images." Thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-15360.

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6

Emiroglu, Ibrahim. "Fingerprint image enhancement & recognition." Thesis, University of Hertfordshire, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.363500.

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7

Roelofs, Antonius Arnoldus Jozef. "Image enhancement for low vision /." Online version, 1997. http://bibpurl.oclc.org/web/25504.

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8

Majtanovic, Cveta. "AUTOMATIC ENHANCEMENT OF IMAGE MEMORABILITY." Doctoral thesis, Università degli studi di Trento, 2021. http://hdl.handle.net/11572/320352.

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Анотація:

Every picture tells a story. Images are one of the most dominant types of media, uploaded an average in billions every single day and in hundreds of billions on an annual basis. Artifacts depicting visual perception like photographs and other two-dimensional pictures are distributed through the growing number of image-sharing websites. Consequently, a thriving interest in understanding the whole image or objects depicted in it, its style or the emotions a picture might evoke, together with all the other image properties, became increasingly represented in research practice. This research focus

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9

Bengtsson, Martin, and Emil Ågren. "Image enhancement of license plates in images using Super Resolution." Thesis, Linköpings universitet, Medie- och Informationsteknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-121682.

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Bildgruppen på enheten för dokument och informationsteknik hos SKL har ett behov av att kunna förbättra bilder med extremt låg upplösning. Detta bildmaterial kan komma från diverse övervakningskameror där det intressanta objektet endast utgör en väldigt liten del, i detta fall registreringsskyltar på förbipasserande bilar. Att skapa en högupplöst bild av en registreringsskylt utav ett fåtal lågupplösta bilder är ett välkänt problem med ett flertal förslag på metoder och lösningar. I denna rapport kommer vi att undersöka vilka metoder som passar bäst vid bildförbättring av registreringsskyltar.

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10

Adolfsson, Karin. "Visual Evaluation of 3D Image Enhancement." Thesis, Linköping University, Department of Biomedical Engineering, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-7944.

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<p>Technologies in image acquisition have developed and often provide image volumes in more than two dimensions. Computer tomography and magnet resonance imaging provide image volumes in three spatial dimensions. The image enhancement methods have developed as well and in this thesis work 3D image enhancement with filter networks is evaluated.</p><p>The aims of this work are; to find a method which makes the initial parameter settings in the 3D image enhancement processing easier, to compare 2D and 3D processed image volumes visualized with different visualization techniques and to give an ill

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11

Tan, Juan Boon. "Image enhancement in scanning optical microscopy." Thesis, University of Oxford, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.306886.

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12

Temizel, Alptekin. "Wavelet domain image resolution enhancement methods." Thesis, University of Surrey, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.425928.

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13

Li, Yuanzhen Ph D. Massachusetts Institute of Technology. "Perceptually inspired image estimation and enhancement." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/49739.

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Анотація:

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 2009.<br>Includes bibliographical references (p. 137-144).<br>In this thesis, we present three image estimation and enhancement algorithms inspired by human vision. In the first part of the thesis, we propose an algorithm for mapping one image to another based on the statistics of a training set. Many vision problems can be cast as image mapping problems, such as, estimating reflectance from luminance, estimating shape from shading, separating signal and noise, etc. Such problems are typically under-

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14

Yao, Peter Y. (Peter Yukon). "Image enhancement using statistical spatial segmentation." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/40207.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1996.<br>Includes bibliographical references (leaves 56-58).<br>by Peter Y. Yao.<br>M.Eng.

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15

SETHI, RAJNI. "SOME STUDIES ON UNDERWATER IMAGE ENHANCEMENT." Thesis, DELHI TECHNOLOGICAL UNIVERSITY, 2020. http://dspace.dtu.ac.in:8080/jspui/handle/repository/18451.

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Анотація:

Oceans covers 70% of the earth and are required to be explored for various scientific studies like setting up underwater pipelines, knowing the ecological balance by taking population census of various aquatic species etc. To get such information, capturing images is safe and effective solution, but underwater imagery suffers from poor contrast, bluish green color cast, hazy appearance, blurring and noise due to inherent property of water. Enhancement of underwater images is a challenging task as images are captured in different media having varying salinity, turbidity, green matter etc.

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16

Kotha, Aravind Eswar Ravi Raja, and Lakshmi Ratna Hima Rajitha Majety. "Performance Comparison of Image Enhancement Algorithms Evaluated on Poor Quality Images." Thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13880.

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Анотація:

Many applications require automatic image analysis for different quality of the input images. In many cases, the quality of acquired images is suitable for the purpose of the application. However, in some cases the quality of the acquired image has to be modified according to needs of a specific application. A higher quality of the image can be achieved by Image Enhancement (IE) algorithms. The choice of IE technique is challenging as this choice varies with the application purpose. The goal of this research is to investigate the possibility of the selective application for the IE algorithms.

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17

Azzabou, Noura. "Variable Bandwidth Image Models for Texture-Preserving Enhancement of Natural Images." Paris Est, 2008. http://pastel.paristech.org/4041/01/ThesisNouraAzzabou.pdf.

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Cette thèse s’intéresse aux problèmes de restauration d’images et de préservation de textures. Cette tâche nécessite un modèle image qui permet de caractériser le signal qu’on doit obtenir. Un tel model s’appuie sur la définition de l’interaction entre les pixels et qui est caractérisé par deux aspects : (1) la similarité photométrique entre les pixels (2) la distance spatiale entre les pixels qui peut être comparée à une grandeur d’échelle. La première partie de la thèse introduit un nouveau modèle non paramétrique d’image. Ce modèle permet d’obtenir une description adaptative de l’image en u

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18

Chen, Jia. "Visual enhancement using multiple cues /." View abstract or full-text, 2009. http://library.ust.hk/cgi/db/thesis.pl?CSED%202009%20CHENJ.

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19

van, der Gracht Joseph. "Partially coherent image enhancement by source modification." Diss., Georgia Institute of Technology, 1991. http://hdl.handle.net/1853/13379.

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20

Al-Atabany, Walid Ibrahim. "Image enhancement techniques for bioelectronic visual aids." Thesis, Imperial College London, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.528303.

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21

Ledesma, Spencer Aguila. "A proposed framework for forensic image enhancement." Thesis, University of Colorado at Denver, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=1605105.

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<p>Digital images and videos used in the investigation of a crime often undergo several concurrent enhancement operations for improved analysis by humans or automated systems. When applying multiple image processing techniques to an image, the order and method in which processes are applied can have a profound impact on the result. However, the effect that one enhancement algorithm will have when applied in conjunction with another is not always obvious. When applied incorrectly, at best, there will be a negative impact to the amount of information that can be extracted from an image. At worst

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22

Ström, Bartunek Josef. "FINGERPRINT IMAGE ENHANCEMENT, SEGMENTATION AND MINUTIAE DETECTION." Doctoral thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-11149.

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Prior to 1960's, the fingerprint analysis was carried out manually by human experts and for forensic purposes only. Automated fingerprint identification systems (AFIS) have been developed during the last 50 years. The success of AFIS resulted in that its use expanded beyond forensic applications and became common also in civilian applications. Mobile phones and computers equipped with fingerprint sensing devices for fingerprint-based user identification are common today. Despite the intense development efforts, a major problem in automatic fingerprint identification is to acquire reliable matc

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23

Albanwan, Hessah AMYM. "Remote Sensing Image Enhancement through Spatiotemporal Filtering." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1492011122078055.

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24

Andriolo, Stefano. "Convolutional Neural Networks in Tomographic Image Enhancement." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/22843/.

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Convolutional Neural Networks have seen a huge rise in popularity in image applications. They have been used in medical imaging contexts to enhance the overall quality of the digital representation of the patient's scanned body region and have been very useful when dealing with limited-angle tomographic data. In this thesis, a particular type of convolutional neural network called Unet will be used as the starting point to explore the effectiveness of different networks in enhancing tomographic image reconstructions. We will first make minor tweaks to the 2-dimensional convolutional network an

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25

Sorensen, Matthew J. "Real-time Image Enhancement Using Texture Synthesis." Diss., CLICK HERE for online access, 2004. http://contentdm.lib.byu.edu/ETD/image/etd595.pdf.

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26

Thomas, Bruce Allen. "New aspects of digital color image enhancement." Diss., The University of Arizona, 1999. http://hdl.handle.net/10150/289128.

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Анотація:

The spatial and chromatic dimensions of digital color image information exhibit unique interrelationships that invite new, color-image-specific, processing strategies. A quantitative exploration of these interrelationships is performed. The resulting data reveals key traits that lead to two new methods of color image enhancement. The first is a method of color image contrast enhancement that exploits the existence of high-pass spatial energy in certain chromatic color components. We present a new, spatially adaptive approach that acknowledges the spatially varying nature of cross-component cor

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27

Messina, Giuseppe. "Advanced Techniques for Image Analysis and Enhancement." Thesis, Università degli Studi di Catania, 2011. http://hdl.handle.net/10761/190.

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The research activities, described in this thesis, have been mainly focused on images analysis and quality enhancement. Specifically the research regards the study and development of algorithms for color interpolation, contrast enhancement and red-eye removal, which have been exclusively oriented to mobile devices. Furthermore an images analysis for forgeries identification and image enhancement, usually directed by investigators (Forensic Image Processing) has been conducted. The thesis is organized in three main parts: Image Processing for Embedded Devices; Image Analysis and Enhancement; Fo

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28

Saleem, Amina. "Image enhancement using a perceptual fusion approach." Paris 13, 2012. http://scbd-sto.univ-paris13.fr/intranet/edgalilee_th_2012_saleem.pdf.

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Due to limitations in image acquisition and transmission systems, image enhancement is established as an important area in image processing. Removing noise and blur, improving contrast to reveal details, coding artifact reduction and luminance adjustment are some image processing tasks that fall in the broader category of image enhancement operations. The problem of image enhancement is not a trivial task, since each image has its own characteristics and different image applications demand different enhancement requirements. It is therefore, hard to find a universal enhancement technique that

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29

江文尉. "Digital image enhancement on chromatic images." Thesis, 1990. http://ndltd.ncl.edu.tw/handle/60366945930676014945.

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30

Tung, Hsiao-Jung, and 童筱蓉. "Night Image Enhancement." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/53516538666033111599.

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碩士<br>輔仁大學<br>電機工程學系碩士班<br>104<br>Night image quality in the intelligent surveillance system is a problem. Compared to daytime images, there are always three characteristics in the night, lower brightness, lower contrast and higher noise. These features not only cause human eyes difficult to observe but also make the accuracy decreasing of the system such as object detection or tracking. Therefore, we enhance the night images by combining with contrast enhancement and denoise to solve the above three characteristics. In experiments, we simulate night image to verify that architecture, contrast

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31

Mallik, Sudhansu. "Underwater Image Enhancement." Thesis, 2016. http://ethesis.nitrkl.ac.in/9314/1/2016_MT_SMallik.pdf.

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The human incapability in diving in the deep ocean for a long time has increased the challenges of underwater analysis. Underwater remotely operated vehicles(UROVs) are used these days to acquire images in deep ocean. However, the challenges contain problems like disrupting scattering effect and aggressive light absorption in the deep ocean. Although UROVs are having artificial light, it is unable to provide good and clear images because of these problems. Three methods have been discussed in the thesis to improve the image quality. first of all, a method which contains a haze removal algorith

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32

GUPTA, KRITI. "IMAGE ENHANCEMENT USING EVOLUTIONARY COMPUTING." Thesis, 2014. http://dspace.dtu.ac.in:8080/jspui/handle/repository/15442.

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A new method for the enhancement of color images is presented which uses the fuzzy logic and differential evolution. With the application of an objective measure known as exposure the image is divided into underexposed and overexposed regions. The V component or the luminance component of the HSV color space is exploited for the enhancement process. However, the hue component is kept intact so that the color constitution of the original image remains the same. The under exposed and the over exposed regions are enhanced using two different schemes. The enhancement of the underexposed regi

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33

CHEN, CHONG-SHU, and 陳崇樹. "Coherent image edge enhancement by image flow." Thesis, 1990. http://ndltd.ncl.edu.tw/handle/21819831354430770598.

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34

Calderón, González Julian, and Salazar Òscar Daniel Carmona. "Image Enhancement with Matlab Algorithms." Thesis, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-770.

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35

王維綱. "Color Image Contrast Enhancement Using Image Fusion Technique." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/85252293683372085640.

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碩士<br>國立交通大學<br>多媒體工程研究所<br>100<br>There are more and more digital images in our daily life thanks to the popularity of photograph capturing equipments, such as digital cameras and mobile phones. In addition, as the Internet and social networks have been well developed, it’s easier for people to share images with their friends. However, not all people are satisfied with the photos they taken due to the limitations of the image capturing devices. The improper luminance condition may cause under-exposed and over-exposed images. To solve this problem, plenty of researches are proposed for contras

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36

Lin, Chih-Ming, and 林志明. "Image Enhancement Based on Histogram Equalizationand Image Fusion." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/64228297913611357824.

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碩士<br>朝陽科技大學<br>資訊工程系碩士班<br>98<br>This paper presents an image enhancement approach based on histogram equalization (HE) and image fusion, which is abbreviated as IE/HEIF. The proposed IE/HEIF consists of three stages: First, obtain the complement of original image. Second, fuse the original image and its complement by linear interpolation and apply limited range histogram equalization to the fused image. Third, apply linear interpolation once more to fuse the original image and that obtained in the second stage. To improve the performance of IE/HEIF further, an adaptive scheme based on standa

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37

Li, Huei Yun, and 李蕙芸. "Image Super-resolution through Image Enhancement and Refinement." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/11164033854043504526.

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碩士<br>國立交通大學<br>多媒體工程研究所<br>101<br>Single image super-resolution has recently become a hot topic in computer vision and computer graphics communities. This technology had been applied on various media devices in our daily life. The problem how to enlarge images without artifacts and in real time is the core of super-resolution we need to solve. We propose a new method combining image enhancement and interpolation according to edge gradient information. We enhance the original input image at first. This can avoid oversmooth and let the image looked more like the ground truth image. Then we use

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38

Kondermann, Daniel Chen Yunqiang. "Multiple image restoration and enhancement /." 2006. http://www.gbv.de/dms/ilmenau/abs/512074879konde.txt.

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Lee, Kun-Lin, and 李昆霖. "Example-based Image Resolution Enhancement." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/35925460154273824224.

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碩士<br>國立臺灣大學<br>資訊工程學研究所<br>96<br>When taking a photograph using digital devices such as digital cameras, usually we are not able to perfectly duplicate the scene we want to capture due to the limits of camera devices and storage space. Instead, we can only to sample the scene and store the color information of discrete space locations in the form of image pixels. The above fact arose a problem when we want to display an image on a bigger display device or zoom-in the image for checking details: There are not enough information to display an image in any resolution higher than what it was tak

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40

Chin, Ya-Hsien, and 金雅祥. "Weight-Based Local Image Enhancement." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/32376124536975282066.

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碩士<br>國立臺灣大學<br>電機工程學研究所<br>95<br>Image enhancement ranges over numerous subjects. The most common application is digital photos taken in our daily life. Due to the different environmental conditions or the photographers, it frequently leads into too dark or bright images in local area. Either in certain Pattern Recognition(PR) system, by the way of pre-processing as known as image enhancement we could obtain more distinguishing features in order to classify them further precisely. As for some indoor surveillance systems, we fail to monitor efficiently because of the poor light source generati

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41

Lee, Kun-Lin. "Example-based Image Resolution Enhancement." 2008. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0001-3107200818103400.

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42

Yang, Wei-Sheng, and 楊崴勝. "Adaptive Video Image Enhancement Filters." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/74657831699903674708.

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碩士<br>長榮大學<br>資訊管理學系碩士班<br>99<br>The purpose of this study is to improve the details of high dynamic range image through the image enhancement. The system can automatically enhance video image according to the type of image and establish the adaptive video enhancement filters. This study focuses on the image enhancement and combines with the Monte Carlo Simulation Algorithm to enhance the quality of the image. This study utilizes the advantage of the bilateral filter for high dynamic range image proessing, and combines with the advantage of the Monte Carlo Simulation Algorithm to find the prop

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43

李孟儒. "Autofocus Image Contrast Enhancement for." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/18983009795712155068.

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碩士<br>逢甲大學<br>生醫資訊暨生醫工程碩士學程<br>101<br>In this article, we propose an image enhancement technique named Autofocus Image Contrast Enhancement (AICE) for medical images. It can enhance the suspecting area and locate the Range of Interest (ROI) from medical images for diagnosis. The gray scale of tumors, hematomas and other granulation tissue are distinguished from other normal tissue. We can use the characteristic by marking the gray scalp of ROI, isolating it to help the medical diagnosis. The lesion is figured by two different ways, range growing and non-standard smoothing method are used in th

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KRISHNA, CHARU. "IMAGE ENHANCEMENT USING ENTROPY MAXIMIZATION." Thesis, 2016. http://dspace.dtu.ac.in:8080/jspui/handle/repository/15093.

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Image enhancement is one of the most interesting domain of image processing. One of the techniques of image enhancement is contrast enhancement. Contrast enhancement in image processing is a very important technique. One of the most vastly used techniques for contrast enhancement is histogram equalization. It enhances the contrast of the input image by mapping the intensity levels based on the input probability distribution function of the image. HE finds application in many fields like medical image processing. HE, in general flats the histogram of the image and thus enhances the contrast of

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45

Chang, Yu-Kuang, and 張御廣. "FUZZY IMAGE ENHANCEMENT FOR LOW ILLUMINATION IMAGE AND UNEVEN ILLUMINATION IMAGE." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/16481009654835220402.

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碩士<br>大同大學<br>通訊工程研究所<br>103<br>In this thesis, Fuzzy image enhancement algorithms for low illumination image and uneven illumination image are proposed. The global brightness enhancement and the fuzzy contrast enhancement are performed for low illumination image. The uneven illumination enhancement and the fuzzy contrast enhancement are performed for uneven illumination image. The experimental results show that low illumination images and uneven illumination images can be effectively enhanced.

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Pan, Lee-Chieh, and 李界磐. "On the Image Intensity Based Adaptive Image Enhancement Methods." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/46x758.

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碩士<br>國立臺灣科技大學<br>電機工程系<br>95<br>This thesis presents two approaches of refinement image enhancements, primarily aiming to improve the brightness and low contrast images. We first propose two methods for gray images. One is Adaptive Trichotomy Histogram Equalization that can automatically adjust brightness change. The other is a design of Adaptive Trichotomy Gamma Correction that can automatically adjust brightness change by using the concept of Gamma correction in image enhancement. Both approaches can enhance very dark images. These two approaches can also be applied to color images. Sp

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47

Chou, Yueh-Shia, and 周月霞. "Construct a Systematic Image Enhancement of Low Contrast Image." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/42601597441185368548.

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碩士<br>元智大學<br>工業工程與管理學系<br>95<br>The detection technology is improved and developed continuously by electronic products. There are many researches is used image enhancement not only the detection more efficiently ,but also apply to develop new method. The method of image enhancement is decided by experience. This situation spent a lot of time to develop about the detection. The study is constructed a decision rule for image enhancement and can be get the preliminary result with our research in the shorter time. To shorten the time of chose the image enhancement, this research proposed thr

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WU, JUN-FENG, and 吳俊鋒. "Study on fuzzy image segmentation and image contrast enhancement." Thesis, 1990. http://ndltd.ncl.edu.tw/handle/71765730092164962119.

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Chen, Ying-Ching, and 陳英璟. "Underwater image enhancement: Using WavelengthCompensation and Image Dehazing (WCID)." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/94271506864231404657.

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碩士<br>國立中山大學<br>資訊工程學系研究所<br>99<br>Light scattering and color shift are two major sources of distortion for underwater photography. Light scattering is caused by light incident on objects reflected and deflected multiple times by particles present in the water before reaching the camera. This in turn lowers the visibility and contrast of the image captured. Color shift corresponds to the varying degrees of attenuation encountered by light traveling in the water with different wavelengths, rendering ambient underwater environments dominated by bluish tone. This paper proposes a novel approach t

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Liu, Ban-Yen, and 劉邦彥. "Digital Images Enhancement and Border Detection In Ventricular MRI Image." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/17521129681300012941.

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碩士<br>大葉大學<br>工業工程研究所<br>87<br>MRI system is noninvasive and provides the clear images to diagnosis. In cardiovascular system, however, MR images require manual trace method to identify the endocardial border and the epicardial border in left ventricular. Because dynamic organs generate a huge number of images, it takes long time to identify them by using the manual trace method. To provide satisfactory clinical performance, an automatic endocardial and the epicardial border detection algorithm is required. In this research, we provide an algorithm of wavelet-based images enhancemen

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