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Redeye artifact is the most prevalent problem in the flash photography, especially using compact cameras with built-in flash, which bothers both amateur and professional photographers. Hence, removing the affected redeye pixels has become an important skill. This thesis work presents a completely automatic approach for the purpose of redeye detection and removal and it consists of two modules: detection and correction of the redeye pixels in an individual eye, detection of two red eyes in an individual face.This approach is considered as a combination of some of the previous attempts in the area of redeye removal together with some minor and major modifications and novel ideas. The detection procedure is based on the redness histogram analysis followed by two adaptive methods, general and specific approaches, in order to find a threshold point. The correction procedure is a four step algorithm which does not solely rely on the detected redeye pixels. It also applies some more pixel checking, such as enlarging the search area and neighborhood checking, to improve the reliability of the whole procedure by reducing the image degradation risk. The second module is based on a skin-likelihood detection algorithm. A completely novel approach which is utilizing the Golden Ratio in order to segment the face area into some specific regions is implemented in the second module. The proposed method in this thesis work is applied on more than 40 sample images; by considering some requirements and constrains, the achieved results are satisfactory.

This paper deals with traffic signs recognition. Red color area is obtained by thresholding in HSV color model. Selected radiometric deskriptors, Hough transform deskriptors and neural networs are used to classification. In conclusion has been designed complex decision algorithm.

This diploma thesis deals with image similarity based on colour. There are discussed necessary theoretical basis for better understanding of this topic. These basis are color models, that are implemented in work, principle of creating the histogram and its comparing. Next chapter deals with summary of recent progress in the field of image comparison and overview of several most used methods. Practical part introduces training image database, which gives results of success for each created method. These methods are separately described, including their principles and achieved results. In the very end of this work, user interface is described. This interface provides a transparent presentation of the results for the chosen method.

Made available in DSpace on 2015-03-05T14:01:22Z (GMT). No. of bitstreams: 0 Previous issue date: 30 / Hewlett-Packard Brasil Ltda / Atualmente, existem diversos trabalhos com as mais variadas abordagens relativas ao processamento de imagens digitais para detecção de atividade de voz (VAD). As suas aplicações perpassam diferentes áreas, como por exemplo, comandos de voz em veículos e videoconferência. A motivação deste trabalho constitui-se na construção de um algoritmo que contribua para o aperfeiçoamento das técnicas de processamento de imagens aplicadas para a detecção de atividade de voz em vídeos. A problemática envolvida já apresenta uma grande diversidade de abordagens. No entanto, o foco deste trabalho situa-se na busca de alternativas para a melhoria na extração de um modelo de cor de pele e não-pele e, a partir daí, extrair um classificador para identificar a atividade de fala com mais precisão. Algoritmos já existentes de identificação de face e de classificação dos lábios foram utilizados e aprimorados. Através da criação de patches abaixo dos olhos, foi criado um modelo para determinar as características individuais de cor de / Currently, there are several works with many di_erent approaches to image processing for detection of voice activity (VAD). Its applications cross over di_erent areas, such as voice commands in vehicles and videoconferencing. The motivation of this work consists in building an algorithm that contributes to the improvement of techniques image processing applied to detect voice activity on video. The issue already presents a great diversity of approaches. However, the focus of this work lies in _nding alternatives to improve the extraction of a skin and non-skin color model and, from there, extract a classi_er to identify the activity of speech more accurately. Existing algorithms of face detection and classi_cation of the lips were used and improved. Through the creation of patches under the eyes, a model was created to determine the individual characteristics of skin color using the mean and standard deviation of the pixels of the patches and the mouth area. The results are presented based on two approaches.

Submitted by Maike Costa (maiksebas@gmail.com) on 2016-05-10T13:37:38Z No. of bitstreams: 1 arquivo total.pdf: 3109388 bytes, checksum: 647810f9fb25d144a271d5f256240096 (MD5) / Made available in DSpace on 2016-05-10T13:37:38Z (GMT). No. of bitstreams: 1 arquivo total.pdf: 3109388 bytes, checksum: 647810f9fb25d144a271d5f256240096 (MD5) Previous issue date: 2015-08-27 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES / A spectrophotometer for absorption measurements / emission, simple, portable and as partially partial dual mode for quantitative experiments was constructed using cheap and available materials is proposed in this paper. The instrument, here called SpectroPhone consists of modules made of MDF, one DVD as a diffraction grating media, two mini white incandescent lamps as radiation source and a Smartphone to acquire images and perform data processing, such as detector. The pixels of a region produced in a spectral images provide qualitative and quantitative information after the application of the concepts and HSV color model RGB, respectively. A simple algorithm based on HSV was developed for the conversion of the hue values (H) in their corresponding λ. Its analytical performance was assessed by quantitative analysis based on analytical curves, specimens of which have been validated by analysis of variance (ANOVA). The SpectroPhone was applied to the determination of Fe2+ in the absorption mode in pharmaceutical samples, and Na+, in emission mode and in natural saline water. For comparison purposes, a commercial spectrophotometer for absorption mode and a photometer for commercial flame emission mode were used to construct the calibration curves of the reference instrument. Applying the paired t test at 95% confidence for the results of concentrations obtained with the instruments, it is observed that there was no statistically significant difference showing high precision and accuracy. SpectroPhone can be considered a good alternative to instrumental spectrometric measurements, not just limited to educational and academic purposes. / Um espectrofotômetro para medidas de absorção/emissão, simples, parciamente portátil e modo duplo parcial para experimentos quantitativos foi construído usando materiais baratos e disponíveis é proposto neste trabalho. O instrumento, aqui chamado de SpectroPhone é composto por módulos confeccionados em MDF, uma mídia de DVD como rede de difração, duas mini lâmpadas incadescentes branca como fonte de radiação e um Smartphone para adquirir imagens e realizar tratamento de dados, como detector. Os pixels de uma região produzida em uma imagens digital fornecem informações qualitativas e quantitativas após a aplicações do HSV e conceitos do modelo de cor RGB, respectivamente. Um simples algoritmo baseado em HSV foi desenvolvido para a conversão dos valores do matiz (H) em seu λ correspondentes. Seu desempenho analítico foi avaliado por meio de análises quantitativas baseados em curvas analíticas, cujos modelos foram validados por meio da análise de variância (ANOVA). O SpectroPhone foi aplicado na determinação de Fe2+ no modo de absorção em amostras farmacêuticas, e Na+, no modo de emissão em soro fisiológico e em água naturais. Para fins de comparação, um espectrofotômetro comercial para o modo de absorção e um fotômetro em chama comercial para o modo de emissão foram empregados para construir as curvas analíticas do instrumento de referência. Aplicando o teste t pareado ao nível de 95% de confiança para os resultados de concentrações obtidas com os instrumentos, observa-se que não houve diferença estatisticamente significativa apresentando alta precisão e exatidão. O SpectroPhone pode ser considerado uma boa alternativa instrumental para medições espectrométricas, não apenas limitada para fins didáticos e acadêmicos.

The thesis advanced image segmentation for 3D image deals with segmentation and anaglyph 3D views. In the theoretical part of the thesis describes the different approaches were used to image segmentation and closely related methods of image processing. In the following practical part was the implementation of selected methods and created user-friendly applications. The main objective of the program is to identify significant objects in the image. For the purpose of segmentation methods have been implemented based on k-means method, the method of contour and the growth of seeds. The program is created in Visual Studio 2008 and written in C + +. The input and output is the image in various formats (JPG, BMP, TIFF).

Thesis briefly discusses the issues of color perception and effects associated with it. Further describes color model and its mathematical definition, which are used by color management. Briefly analyzes important elements of ICC profile. In second part two java applications were designed and programmed. First one evaluates visible spectrum and graphically demonstrate procedure for obtaining trichromacy information from this spectrum. Second application analyzes ICC profile and derives gamut of described device.

Accompanied by the fast development of technology and channels in the advertisement industry, many traditional incumbents felt pressure and were seeking ways to change or better their own position within the industry. The Nordic Association of Heatset Printer (NAHP), where this thesis was carried out, is largely associated with these traditional channels for advertising, such like newspapers, brochures and magazines. They are taking their initiative to prepare and face the challenge coming from new entrants within the advertising industry. I have identified that to fulfill the responsibilities to their customers at a very high standard could enable themselves to continuingly remain a competitive position in the advertisement industry, and among these responsibilities, the printing quality is definitely an important one. By checking whether all the printers conform to the error tolerances set by the ISO standard, I could offer the members of the organization useful information and suggestion, and eventually give them directions on where they might need to improve, and where they need to maintain. I have also identified 3 determinants regarding printing and they are print density, dot gain and the ΔE of L*a*b*. Checking whether those three primaries have met the industry standard has become the main job of this thesis work. To finish this thesis work, I have gathered samples from printers within NAHP, tested the color control strips on each samples, input the data into statistical Excel files, programmed to analyze the data, and finally conducted evaluations. The test results have revealed that most presses from the printing houses within my thesis work are able to offer high quality prints. However, certain problems have also been identified. Some presses definitely need to change and improve their printing setting in order to reach ISO standard and achieve audience satisfaction. In addition, the results have also double confirmed that all three investigated properties, print density, dot gain and ΔE of L*a*b*, correlate intensely and influence one and another.

Human skin is made of a stack of different layers, each of which reflects a portion of impinging light, after absorbing a certain amount of it by the pigments which lie in the layer. The main pigments responsible for skin color origins are melanin and hemoglobin. Skin segmentation plays an important role in a wide range of image processing and computer vision applications. In short, there are three major approaches for skin segmentation: rule-based, machine learning and hybrid. They differ in terms of accuracy and computational efficiency. Generally, machine learning and hybrid approaches outperform the rule-based methods but require a large and representative training dataset and, sometimes, costly classification time as well, which can be a deal breaker for real-time applications. In this work, we propose an improvement, in three distinct versions, of a novel method for rule-based skin segmentation that works in the YCbCr color space. Our motivation is based on the hypotheses that: (1) the original rule can be complemented and, (2) human skin pixels do not appear isolated, i.e. neighborhood operations are taken into consideration. The method is a combination of some correlation rules based on these hypotheses. Such rules evaluate the combinations of chrominance Cb, Cr values to identify the skin pixels depending on the shape and size of dynamically generated skin color clusters. The method is very efficient in terms of computational effort as well as robust in very complex images. / A pele humana é constituída de uma série de camadas distintas, cada uma das quais reflete uma porção de luz incidente, depois de absorver uma certa quantidade dela pelos pigmentos que se encontram na camada. Os principais pigmentos responsáveis pela origem da cor da pele são a melanina e a hemoglobina. A segmentação de pele desempenha um papel importante em uma ampla gama de aplicações em processamento de imagens e visão computacional. Em suma, existem três abordagens principais para segmentação de pele: baseadas em regras, aprendizado de máquina e híbridos. Elas diferem em termos de precisão e eficiência computacional. Geralmente, as abordagens com aprendizado de máquina e as híbridas superam os métodos baseados em regras, mas exigem um conjunto de dados de treinamento grande e representativo e, por vezes, também um tempo de classificação custoso, que pode ser um fator decisivo para aplicações em tempo real. Neste trabalho, propomos uma melhoria, em três versões distintas, de um novo método de segmentação de pele baseado em regras que funciona no espaço de cores YCbCr. Nossa motivação baseia-se nas hipóteses de que: (1) a regra original pode ser complementada e, (2) pixels de pele humana não aparecem isolados, ou seja, as operações de vizinhança são levadas em consideração. O método é uma combinação de algumas regras de correlação baseadas nessas hipóteses. Essas regras avaliam as combinações de valores de crominância Cb, Cr para identificar os pixels de pele, dependendo da forma e tamanho dos agrupamentos de cores de pele gerados dinamicamente. O método é muito eficiente em termos de esforço computacional, bem como robusto em imagens muito complexas.