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Tesi sul tema "Histogram"

Autore: Grafiati
Pubblicato: 4 giugno 2021
Ultima modifica: 25 luglio 2025

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1

Kvapil, Jiří. "Adaptivní ekvalizace histogramu digitálních obrazů." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2009. http://www.nusl.cz/ntk/nusl-228687.

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The diploma thesis is focused on histogram equalization method and his extension by the adaptive boundary. This thesis contains explanations of basic notions on that histogram equalization method was created. Next part is described the human vision and priciples of his imitation. In practical part of this thesis was created software that makes it possible to use methods of adaptive histogram equalization on real images. At the end is showed some results that was reached.
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2

Kurak, Charles W. Jr. "Adaptive Histogram Equalization, a Parallel Implementation." UNF Digital Commons, 1990. http://digitalcommons.unf.edu/etd/260.

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Adaptive Histogram Equalization (AHE) has been recognized as a valid method of contrast enhancement. The main advantage of AHE is that it can provide better contrast in local areas than that achievable utilizing traditional histogram equalization methods. Whereas traditional methods consider the entire image, AHE utilizes a local contextual region. However, AHE is computationally expensive, and therefore time-consuming. In this work two areas of computer science, image processing and parallel processing, are combined to produce an efficient algorithm. In particular, the AHE algorithm is implem
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3

Jirka, Roman. "Časosběrné video." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2011. http://www.nusl.cz/ntk/nusl-236934.

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This thesis deals with the introduction into the topic of time-lapse video creation. It focuses on cases where tripod is not used and therefore it is  necessary to eliminate incurred shortcomings. The main shortcomings are different position of individual frames, different brightness and color adjustment. The next topic describes which principles should be followed during the creation process. Thesis describes and implements methods for elimination of main shortcomings during process long time-lapse videos, which are recorded by hand. Thesis also precisely describes image registration, correct
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4

Müller, Patrice. "Scalable localized histogram aggregation for P2P MMOGs." Zürich : ETH, Eidgenössische Technische Hochschule Zürich, 2005. http://e-collection.ethbib.ethz.ch/show?type=dipl&nr=169.

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5

SKARPMAN, MUNTER JOHANNA. "Dose-Volume Histogram Prediction using KernelDensity Estimation." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-155893.

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Dose plans developed for stereotactic radiosurgery are assessed by studying so called Dose-Volume Histograms. Since it is hard to compare an individual dose plan with doseplans created for other patients, much experience and knowledge is lost. This thesis therefore investigates a machine learning approach to predicting such Dose-Volume Histograms for a new patient, by learning from previous dose plans.The training set is chosen based on similarity in terms of tumour size. The signed distances between voxels in the considered volume and the tumour boundary decide the probability of receiving a
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6

Yakoubian, Jeffrey Scott. "Adaptive histogram equalization for mammographic image processing." Thesis, Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/16387.

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7

Potgieter, Andrew. "A Parallel Multidimensional Weighted Histogram Analysis Method." Thesis, University of Cape Town, 2014. http://pubs.cs.uct.ac.za/archive/00000986/.

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The Weighted Histogram Analysis Method (WHAM) is a technique used to calculate free energy from molecular simulation data. WHAM recombines biased distributions of samples from multiple Umbrella Sampling simulations to yield an estimate of the global unbiased distribution. The WHAM algorithm iterates two coupled, non-linear, equations, until convergence at an acceptable level of accuracy. The equations have quadratic time complexity for a single reaction coordinate. However, this increases exponentially with the number of reaction coordinates under investigation, which makes multidimensional WH
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8

Thapa, Mandira. "Optimal Feature Selection for Spatial Histogram Classifiers." Wright State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=wright1513710294627304.

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9

Li, Yang. "Face Recognition Based on Histogram And Spin Image." Thesis, University of York, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.485831.

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This thesis presents our research work on shape-based human face recognition exploiting curvature-based histogram and spin image. Instead of the popular 2D shape information represented by fiducial points, the novelty here is the use of 2.5D shape information obtained by shape-from-shading (SFS). Though surface normals generated by performing shape-from-shading on objects are not widely accepted as a precise shape representation for face recognition purposes, recent research in shape-from-shading [Ragheb and Hancock, 2003] [prados et aI., 2006] [Castelan, 2006] [Smith and Hancock, 2006] has ma
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10

Gomes, David Menotti. "Contrast enhancement in digital imaging using histogram equalization." Phd thesis, Université Paris-Est, 2008. http://tel.archives-ouvertes.fr/tel-00470545.

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Nowadays devices are able to capture and process images from complex surveillance monitoring systems or from simple mobile phones. In certain applications, the time necessary to process the image is not as important as the quality of the processed images (e.g., medical imaging), but in other cases the quality can be sacrificed in favour of time. This thesis focuses on the latter case, and proposes two methodologies for fast image contrast enhancement methods. The proposed methods are based on histogram equalization (HE), and some for handling gray-level images and others for handling color ima
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11

Choy, Siu Kai. "Statistical histogram characterization and modeling : theory and applications." HKBU Institutional Repository, 2008. http://repository.hkbu.edu.hk/etd_ra/913.

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12

Mlsna, Phillip Anthony 1956. "Color image enhancement by three-dimensional histogram modification." Thesis, The University of Arizona, 1992. http://hdl.handle.net/10150/278247.

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Abstract (sommario):
Histogram-based color image enhancement is usually accomplished by transforming from RGB coordinates to another coordinate system, modifying the components represented in that system, and converting the results back to RGB. Although a few methods function directly in RGB space, they also attempt to reduce dimensonality from the histogram's original three dimensions. Such methods seldom yield images that use the full extent of RGB color range. A new method called "histogram explosion" has been developed to perform true multivariate enhancement directly in RGB color space. Discussed are the algo
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13

Přibyl, Jakub. "Sledování objektu ve videosekvenci pomocí integrálního histogramu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-413048.

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This thesis focuses on object tracking in real-time. Tracked object is defined by bounding rectangle. The thesis works on issue of image processing and using histogram for real-time object tracking. The main contribution of the work is the extension of the provided program to track object in real-time with changing bounding rectangle. Size of the rectangle is changing as the object moves closer of further from camera. Furthemore the detection behavior in different scenarios is analyzed. In addition, various weight calculations were tested. The program is written in C++ using OpenCV library.
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Sojma, Zdeněk. "Sledování objektu ve videu." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2011. http://www.nusl.cz/ntk/nusl-237013.

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This master's thesis describes principles of the most widely used object tracking systems in video and then mainly focuses on characterization and on implementation of an interactive offline tracking system for generic color objects. The algorithm quality consists in high accuracy evaluation of object trajectory. The system creates the output trajectory from input data specified by user which may be interactively modified and added to improve the system accuracy. The algorithm is based on a detector which uses a color bin features and on the temporal coherence of object motion to generate mult
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15

Bashar, M. K., and N. Ohnishi. "Image Retrieval By Local Contrast Patterns and Color Histogram." INTELLIGENT MEDIA INTEGRATION NAGOYA UNIVERSITY / COE, 2006. http://hdl.handle.net/2237/10434.

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16

Chan, Chi Ho. "Multi-scale local Binary Pattern Histogram for Face Recognition." Thesis, University of Surrey, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.493135.

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Abstract (sommario):
Recently, the research in face recognition has focused on developing a face representation that is capable of capturing the relevant information in a manner which is invariant to facial expression and illumination. Motivated by a simple but powerful texture descriptor, called Local Binary Pattern (LBP), our proposed system extends this descriptor to evoke multiresolution and multispectral analysis for face recognition. The first descriptor, namely Multi-scale Local Binary Pattern Histogram (MLBPH), provides a robust system which is relatively insensitive to localisation errors because it benef
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17

Roychoudhury, Shoumik. "Tracking Human in Thermal Vision using Multi-feature Histogram." Master's thesis, Temple University Libraries, 2012. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/203794.

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Electrical Engineering<br>M.S.E.E.<br>This thesis presents a multi-feature histogram approach to track a person in thermal vision. Illumination variation is a primary constraint in the performance of object tracking in visible spectrum. Thermal infrared (IR) sensor, which measures the heat energy emitted from an object, is less sensitive to illumination variations. Therefore, thermal vision has immense advantage in object tracking in varying illumination conditions. Kernel based approaches such as mean shift tracking algorithm which uses a single feature histogram for object representation, ha
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18

Muñoz, José Daniel. "The broad histogram method : an extension to continuous systems /." Berlin : Logos, 2001. http://catalogue.bnf.fr/ark:/12148/cb40181410z.

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19

Shimazaki, Hideaki. "Recipes for selecting the bin size of a histogram." 京都大学 (Kyoto University), 2007. http://hdl.handle.net/2433/136749.

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20

Ishikawa, Yoshiharu, Yoji Machida, and Hiroyuki Kitagawa. "A Dynamic Mobility Histogram Construction Method Based on Markov Chains." IEEE, 2006. http://hdl.handle.net/2237/7521.

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21

Pahalawatta, Kapila Kithsiri. "Image histogram features for nano-scale particle detection and classification." Thesis, University of Canterbury. Computer Science and Software Engineering, 2015. http://hdl.handle.net/10092/10866.

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This research proposes a method to detect and classify the smoke particles of common household fires by analysing the image histogram features of smoke particles generated by Rayleigh scattered light. This research was motivated by the failure of commercially available photoelectric smoke detectors to detect smoke particles less than 100 nm in diameter, such as those in polyurethane (in furniture) fires, and the occurrence of false positives such as those caused by steam. Seven different types of particles (pinewood smoke, polyurethane smoke, steam, kerosene smoke, cotton wool smoke, cooking
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22

Gaddam, Purna Chandra Srinivas Kumar, and Prathik Sunkara. "Advanced Image Processing Using Histogram Equalization and Android Application Implementation." Thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13735.

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Now a days the conditions at which the image taken may lead to near zero visibility for the human eye. They may usually due to lack of clarity, just like effects enclosed on earth’s atmosphere which have effects upon the images due to haze, fog and other day light effects. The effects on such images may exists, so useful information taken under those scenarios should be enhanced and made clear to recognize the objects and other useful information. To deal with such issues caused by low light or through the imaging devices experience haze effect many image processing algorithms were implemented
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23

Yi-ShanLin and 林怡珊. "Partitioned Dynamic Range Histogram and Its Application to Obtain Better Histogram Equalization." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/37273415144723906115.

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碩士<br>國立成功大學<br>電腦與通信工程研究所<br>101<br>Image contrast enhancement algorithms have been designed to adjust contrast conforming to human visual perception. Histogram equalization (HE) is a very widely used and a popular technique for image contrast enhancement. However, it may produce over-enhancement, washed out, and detail loss in some parts of the processed image and thus makes the processed image unnatural. This thesis proposes a novel compensatory histogram equalization method. Originally when applying HE, it needs to map intensities by calculating the cumulative distribution function (CDF) w
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24

Kumar, Pankaj. "Image Enhancement Using Histogram Equalization and Histogram Specification on Different Color Spaces." Thesis, 2014. http://ethesis.nitrkl.ac.in/5490/1/pankaj_arora_thesis.pdf.

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Image Enhancement is one of the important requirements in Digital Image Processing which is important in making an image useful for various applications which can be seen in the areas of Digital photography, Medicine, Geographic Information System, Industrial Inspection , Law Enforcement and many more Digital Image Applications. Image Enhancement is used to improve the quality of poor images. The focus of this paper is an attempt to improve the quality of digital images using Histogram Equalization and Histogram Specification. In this paper we are applying Histogram Equalization on color ima
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25

MAO, LI-QIN, and 毛麗琴. "Histogram and model selection." Thesis, 1992. http://ndltd.ncl.edu.tw/handle/49364316338099396246.

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Chou, Sheng-Che, and 周聖哲. "Analysis and Comparison of Instrumental Music using Spectrum Histogram, Periodicity Histogram and Fluctuation Pattern." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/68032956454611928546.

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碩士<br>國立臺灣大學<br>電信工程學研究所<br>96<br>In this thesis, I introduce three different methods for music similarity measuring in detail. And then I apply these three methods to 50 songs I chose (frankly viewed as 5 groups, each one has 10 songs). By comparing these results, we can understand which method is the most effective and most accurate. Because we can view an audio data in many different views of point, we have to choose a property on which we focus before starting the similarity measures. In this thesis, I choose the property “timbre” as my yardstick. In chapter 2, I describe the property
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Wu, Yia-Ching, and 吳雅菁. "Histogram Enhancement Using Visual Algorithm." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/71284912461699151569.

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碩士<br>國防大學理工學院<br>電子工程碩士班<br>100<br>Image enhancement can effectively enhance the clarity of the image, and clearly reflect the brightness and subtle color differences of the shooting scene. The most common image enhancement method is gray-scale histogram adjustment. The traditional histogram equalization method is the most widely used technique in gray-scale histogram adjustment, and it utilizes the cumulative probability value to effectively pull the gray scale spacing of histogram. However, a part of the export image is brightness distortion and loss of original information. In order to imp
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28

Santelli, Francesco. "Archetypes for histogram-valued data." Tesi di dottorato, 2018. http://www.fedoa.unina.it/12637/1/francesco_santelli_31.pdf.

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Il principale sviluppo innovativo del lavoro è quello di propone una estensione dell'analisi archetipale per dati ad istogramma. Per quanto concerne l'impianto metodologico nell'approccio all'analisi di dati ad istogramma, che sono di natura complessa, il presente lavora utilizza le intuizioni della "Symbolic Data Analysis" (SDA) e le relazioni intrinseche tra dati valutati ad intervallo e dati valutati ad istogramma. Dopo aver discusso la tecnica sviluppata in ambiente Matlab, il suo funzionamento e le sue proprietà su di un esempio di comodo, tale tecnica viene proposta, nella sezione applic
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Hung-Yuan, Chen. "Improving Histogram Approximation with Line Representation." 2006. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0016-1303200709332516.

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Wang, Chu-Hsuan, and 王楚軒. "Robust indoor localization using histogram equalization." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/5vkxfq.

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博士<br>元智大學<br>電機工程學系<br>104<br>Indoor positioning systems have received increasing attention for supporting locationbased services in indoor environments. Received Signal Strength (RSS), mostly utilized ngerprinting systems in Wi-Fi, is known to be unreliable due to environmental and hardware eects. The PHY layer information about channel quality known as Channel State Information (CSI) can be used due to its frequency diversity (OFDM sub-carriers) and spatial diversity (multiple antennas). The extension of CSI dimensions causes over-tting should be considered. This paper proposes two approach
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Chen, Hung-Yuan, and 陳鴻元. "Improving Histogram Approximation with Line Representation." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/96749204682141130073.

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碩士<br>國立清華大學<br>資訊工程學系<br>94<br>Histograms are popularly used to approximate data distribution by a small number of step functions. Maintaining histograms for every single attribute in databases helps us estimate the cost of database operations. The query optimizers usually require such estimation of cost to decide an efficient access query plan. Histograms are also widely used in approximate query answering systems and data mining. The techniques that store precomputed histograms in the database require some overhead of memory consumption. Therefore, the problem of compressing the histogram i
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32

Hsieh, Pin-Jou, and 謝品柔. "Virtual Fitting Scheme Using Histogram Technology." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/54752263438383977667.

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碩士<br>國立勤益科技大學<br>電子工程系<br>101<br>With the increasing development of information technology, internet has become one of the modern major means of communication. The Internet auction market is also booming, where costumes are the most frequently purchased items. However, people have experienced that clothes on mannequin is nice, but the actual product received is found not suitable for them. Therefore, if there is virtual fitting system, you can match online to confirm whether it is right to buy so to save users a lot of time and money and so on. 　　This study takes portrait and jacket images by
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33

Bhubaneswari, M. "Optimized Histogram Equalization for Image Enhancement." Thesis, 2015. http://ethesis.nitrkl.ac.in/6802/1/Optimized_Bhubaneswari_2015.pdf.

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In this project, Image Enhancement has been achieved by performing Histogram Equalization that uses optimization algorithms to optimize parameters.Histogram equalization is a spatial domain image enhancement technique, which effectively enhances the contrast of an image.However, while it takes care of contrast enhancement,it does not consider the abrupt changes in the image brightness due to which image brightness is not preserved.Hence,in this project a modified histogram equalization technique using optimization algorithm has been proposed, which takes care of contrast enhancement while ensu
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34

HUSEMANN, JOYCE ANN STEVENS. "HISTOGRAM ESTIMATORS OF BIVARIATE DENSITIES (MULTIVARIATE, STATISTICS)." Thesis, 1986. http://hdl.handle.net/1911/15984.

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One-dimensional fixed-interval histogram estimators of univariate probability density functions are less efficient than the analogous variable-interval estimators which are constructed from intervals whose lengths are determined by the criterion of integrated mean squared error (IMSE) minimization. Similarly, two-dimensional fixed-cell-size histogram estimators of bivariate probability density functions are less efficient than variable-cell-size estimators whose cell sizes are determined from IMSE minimization. Only estimators whose cell sides are parallel to the coordinate axes are examined.
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Huang, Hui-Tzu, and 黃惠慈. "Reversible Data Embedding Based on Histogram Manipulation." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/mexq49.

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碩士<br>朝陽科技大學<br>資訊管理系碩士班<br>93<br>Digital watermarking is a key ingredient to multimedia protection. However, most existing techniques distort the original content as a side effect of image protection. As a way to overcome such distortion, reversible data embedding has recently been introduced and is growing rapidly. In reversible data embedding, the original content can be completely restored after the removal of the watermark. Therefore, it is very practical to protect legal, medical, or other important imagery. In this research, three novel and reversible data embedding algorithms based on
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Chung, Xin-fang, and 鍾欣芳. "Simulation of Histogram Equalization for Classification Problem." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/6xk7u8.

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碩士<br>國立臺灣科技大學<br>資訊管理系<br>99<br>Histogram equalization (HEQ) is a technology for improving the darkness and the brightness of the image by adjusting the gray levels based on the cumulative distribution function (CDF). In recent years, this method has been applied to different issues, including robust speech recognition for solving the mismatch between the noisy speech and the clean speech, and natural language processing for the cross-database problem. This paper analyzed how histogram equalization may influence a simple classification problem by simulation. The results showed the rough curv
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37

I-CHIN, CHEN, and 陳逸勤. "Image Contrast Enhancement using Histogram-based Techniques." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/475gn7.

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碩士<br>國立金門大學<br>電子工程學系碩士班<br>103<br>Many image enhancement methods have been proposed. Histogram equalization is a very popular approach. Some histogram-based methods have been proposed to improve the performance of enhancement under different conditions. In this thesis, we propose two new histogram-based image enhancement methods with different criteria. Our first method is the Adaptive Bi-Segment Histogram Equalization (ABHE). In this method, the foreground pixels and background pixels are separated by image segmentation based on the histogram. Then, we assign a smaller range of gray lev
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38

Kao, Chuan-Ho, and 高泉合. "Image retrieval engine based on color histogram." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/12590954256662331564.

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碩士<br>淡江大學<br>資訊工程學系<br>88<br>Content-based image retrieval has become more desirable for developing large image database. We propose a new method of retrieving images from an image database in this research plan. We combine the color, shape and spatial relation features of a picture to index and measure the similarity of images. For any color-based image retrieval system, the key issues are the selection of color space and reducing the resolutions of the color histograms in order to decrease the computing complexity and to increase the performance of similarity measurement. In this plan, seve
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Waqa, Joel Jacob, and 瓦佳. "Tattoo Image Retrieval using Spatial Color Histogram." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/59673552674788485436.

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碩士<br>健行科技大學<br>資訊管理所<br>101<br>In the ever development of technology, humanity has joint biometrics and soft biometric traits in almost every possible methods to retrieve information. Technology has given users a much easier form of searching digital data in numerous fields such as crime, suspects, and victim identification. The common issue of overflowing information in databases is being gradually more stressful to image databases; it is tough and time consuming to search individuals from a database just by fingerprint alone. It is also beneficial and effective when searching people using u
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40

Yang, Han-Ni, and 楊漢妮. "The Study of Adaptive Segmentation Histogram Enhancement." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/35798870691610518156.

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碩士<br>國防大學理工學院<br>電子工程碩士班<br>99<br>An image enhancement algorithm based on adaptive segmentation for image contrast enhancement is presented. In this study, an automatic adaptive segmentation histogram enhancement (ASHE), based on discriminant analysis, is utilized to recursively segment an image into several clusters first. After segmentation, different object and background components are segmented into separate clusters, called object planes. Then, the dynamic range of each object plane is adjusted according to its visual characteristics. Finally, each object plane is enhanced within the ne
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41

Jhan, Shih-Sian, and 詹士賢. "Sobel Histogram Equalization for Image Contrast Enhancement." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/76534008994939627485.

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碩士<br>立德管理學院<br>應用資訊研究所<br>95<br>Contrast enhancement is an important technique for image processing. Although many contrast enhancement methods had been proposed, these designed methods do not focus on the edge quality of image. In this study, the sobel histogram equalization (SHE) is proposed to enhance the contrast of image. In SHE, the image is divided into two regions, edge and non-edge, by using the sobel edge detector. The contrast of these two regions can be individually enhanced, and then these two regions can be merged into a whole image by the histogram equalization. In our experime
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42

Lin, Jun-Yu, and 林俊宇. "Defect correction algorithms for the Image Histogram." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/17225215578480383870.

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碩士<br>僑光科技大學<br>資訊科技研究所<br>101<br>The development and progress of modern video imaging technology is not only limited to imaging itself. It has also led to the development of panel display technology with the resolution of electronic devices becoming more and more detailed, with an increasingly wider colour gamut and colour accuracy becoming higher and higher. Hence the requirement for details of the colour image information has increased. However, due to the improper use of image processing technology or a lack of detailed calculation, these often cause the loss of detailed image or colour
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Pyng, Sue Yuh, and 蘇玉平. "Image segmentation by using adaptive window histogram." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/11884872135793268364.

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碩士<br>國立臺灣科技大學<br>工程技術研究所<br>83<br>In this thesis, we present an algorithm for segmentating gray images. This algorithm accounts for local intensityations includes spatial constraints in the image .Local intensity variations are accounted for local average estimation ovre a sliding window whose size determined by minimizing acriterion based on AIC information criterion. We use K_means algorithm to estimate the initial class and local intensity variations in the capture window. Spatial const
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Fu, Li Yao, and 李曜輔. "Color Image Segmentation Using Circular Histogram Thresholding." Thesis, 1994. http://ndltd.ncl.edu.tw/handle/42055582127526155434.

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碩士<br>國立中央大學<br>資訊及電子工程研究所<br>82<br>A circular histogram thresholding for color image segmentation is proposed. At first, a hue circular histogram is constructed based on an UCS (I,H,S) color space. Next, the histogram is smoothed by a scale-space filter, then the circular histogram is transformed to a traditional histogram form. At last the histogram is recursively threshold based on the maximum principle of analysis of variance. Three comparisons of performance are reported, which are
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Wu, Zong-Han, and 吳宗翰. "Face Recognition based on Vector Quantization Histogram." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/nw268m.

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碩士<br>國立暨南國際大學<br>電機工程學系<br>105<br>Face recognition is a popular field of computer technology research which belongs to biometric identification technology, the biological can distinguish different biological by their own biological characteristics. Biometric identification techniques include face, fingerprint, palm, iris, sound, body and personal habits. The corresponding technology is face recognition, fingerprint recognition, iris recognition, retinal recognition, speech recognition and signature recognition. This thesis uses the vector quantization (VQ) histogram method which is a simple a
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Poosala, Viswanath. "Histogram-based estimation techniques in database systems." 1997. http://catalog.hathitrust.org/api/volumes/oclc/37585530.html.

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Thesis (Ph. D.)--University of Wisconsin--Madison, 1997.<br>Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 209-220).
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Tsai, Mei-ju, and 蔡梅茹. "Lossless Information Hiding Based on Histogram Modification." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/21149759073439377234.

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碩士<br>朝陽科技大學<br>資訊管理系碩士班<br>98<br>Due to the fast growing and popularizing of Internet, people can transmit information quickly and easily. In the past, it took many days to receive information from friends far away. However, as a result of the using of Internet, the probability of information interception by hackers increases invisibly. For this reason, information security has become more important in this decade. Recently the reversible data hiding methods have studied a lot seriously by many professionals and experts. Its basic concept is to completely extract the embedded information
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Chuang, Chialung, and 莊佳龍. "Piece-Wise Histogram Equalization For Image Enhancement." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/03838447444191654772.

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碩士<br>義守大學<br>資訊工程學系碩士在職專班<br>100<br>Histogram equalization (HE), which has been intensively studied for decades, is one of the most popular technologies because it can produce high performance results without complex parameters. Histogram equalization is widely used for a variety of image applications, for instance, radar signal processing and medical image processing. However, HE suffers from choosing a proper dynamic range, which could over-enhance images and causes poor visual quality. Common HE methods use piece-wise algorithm that decomposes input image into N sub-images, and then enhanc
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KHANNA, CHINTAN. "SATELLITE IMAGE CONTRAST ENHANCEMENT USING MODIFIED HISTOGRAM." Thesis, 2016. http://dspace.dtu.ac.in:8080/jspui/handle/repository/15235.

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This project presents a study of various Histogram Equalisation based Contrast Enhancement (CE) techniques followed by the proposal of a novel CE algorithm for satellite and aerial images. The algorithm is referred as Contour Based Histogram Equalisation (CBHE). The algorithm presents a novel method to capture the structural property of an image using the contour of the image. The algorithm addresses the inherent drawbacks of HE viz. artefacts and saturation by decreasing the contribution of high probability pixels in the histogram and increasing that of low probability pixels. Finally the alg
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Muller, John Craig. "Adaptive histogram regrading for real-time image enhancement." 1989. http://hdl.handle.net/1993/17096.

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