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Morphological segmentation of yeast by image analysis

image AND VISION COMPUTING 2007年第1期25卷 34-39页

作者： de Carvalho, Marco A. G. Lotufo, Roberto de A. Couprie, Michel Univ Estadual Campinas FEEC DCA BR-13083970 Campinas SP Brazil A2 SI ESIEE Cite Descartes F-93162 Noisy Le Grand France

An image analysis method has been developed to segment yeast cells. Yeasts belong to the taxonomic group fungi and have been used on fuel and food industry, for example. the method is capable of segmenting yeast cells based on Watershed Transform and space-scale analysis of the Tree of Critical Lakes. We analise hierarchical, geometric and gray-scale properties of the Tree of Critical Lakes. We show experimental results for one group of yeast images obtained from the School ofFood Engineering at Unicamp, Brazil. Comparison shows that the proposed method provides cells with area 10% lower than traditional approach. Moreover, this approach preserves the cells contour, an important feature because of the performance of bioreactors and other chemical processes are greatly influenced by their morphological character. (c) 2006 Elsevier B.V. All rights reserved.

关键词： yeast watershed scale-space image analysis

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New hierarchy-based segmentation layer: towards automatic marker proposal 34

New hierarchy-based segmentation layer: towards automatic ma...

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34th SIBGRAPI Conference on graphics, Patterns and images (SIBGRAPI)

作者： da Fonseca, Gabriel Barbosa Negrel, Romain Perret, Benjamin Cousty, Jean Guimaraes, Silvio Jamil F. Pontificia Univ Catolica Minas Gerais Lab Image & Multimedia Data Sci BR-31980110 Belo Horizonte MG Brazil Univ Gustave Eiffel LIGM CNRS ESIEE Paris F-77454 Marne La Vallee France Univ Gustave Eiffel ESIEE Paris Champs Sur Marne France

ISBN: (纸本)9781665423540

image segmentation is an ill-posed problem by definition, as it is not always possible to automatically select which object appearing in an image is the object of interest. To deal with this issue, prior knowledge in the form of human-given markers can be included in the segmentation pipeline. Even though user interaction can drastically improve segmentation results, it is an expensive resource, and finding ways to reduce human effort on an interactive segmentation loop is of great interest. In this work, we propose a new segmentation layer to be used with deep neural networks, which allows us to create and train in an end-to-end fashion a marker creation network. To train the network, we propose a loss function composed of: a segmentation loss using the proposed differentiable segmentation layer;and a set of regularization functions that enforce the desired characteristics on the produced markers. We showed that by using the proposed layer and loss function, we can train the network to automatically generate markers that recover a good segmentation and have desirable shape characteristics. this behavior is observed on the training dataset, as well as on four unseen datasets.

关键词： Training Deep learning image segmentation Shape Pipelines Proposals

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Fully automatic coloring of grayscale images

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image AND VISION COMPUTING 2007年第1期25卷 50-60页

作者： Vieira, Luiz Filipe M. do Nascimento, Erickson R. Fernandes, Fernando A., Jr. Carceroni, Rodrigo L. Araujo, Arnaldo de A. Univ Fed Minas Gerais Dept Ciencia Comp BR-31270010 Belo Horizonte MG Brazil

this paper introduces a methodology for adding color to grayscale images in a way that is completely automatic. Towards this goal, we build on a technique that was recently developed to transfer colors from a user-selected source image to a target grayscale image. More specifically, in order to eliminate the need for manual selection of the source image, we use content-based image retrieval methods to find suitable source images in an image database. To assess the merit of our methodology, we performed a survey where volunteers were asked to rate the plausibility of the colorings generated automatically for grayscale images. In most cases, automatically-colored images were rated either as totally plausible or as mostly plausible. (c) 2006 Elsevier B.V. All rights reserved.

关键词： image coloring color transfer content-based image retrieval

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Towards a Simple and Efficient Object-based Superpixel Delineation Framework 34

Towards a Simple and Efficient Object-based Superpixel Delin...

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34th SIBGRAPI Conference on graphics, Patterns and images (SIBGRAPI)

作者： Belem, Felipe C. Perret, Benjamin Cousty, Jean Guimaraes, Silvio J. F. Falcao, Alexandre X. Univ Estadual Campinas Inst Comp LIDS Sao Paulo Brazil Univ Gustave Eiffel LIGM CNRS ESIEE Paris Marne La Vallee France Pontificia Univ Catolica Minas Gerais IMSci Belo Horizonte MG Brazil

ISBN: (纸本)9781665423540

Superpixel segmentation methods are widely used in computer vision applications due to their properties in border delineation. these methods do not usually take into account any prior object information. Although there are a few exceptions, such methods significantly rely on the quality of the object information provided and present high computational cost in most practical cases. Inspired by such approaches, we propose Object-based Dynamic and Iterative Spanning Forest (ODISF), a novel object-based superpixel segmentation framework to effectively exploit prior object information while being robust to the quality of that information. ODISF consists of three independent steps: (i) seed oversampling;(ii) dynamic path-based superpixel generation;and (iii) object-based seed removal. After (i), steps (ii) and (iii) are repeated until the desired number of superpixels is finally reached. Experimental results show that ODISF can surpass state-of-the-art methods according to several metrics, while being significantly faster than its object-based counterparts.

关键词： Measurement graphics computer vision Forestry Computational efficiency Iterative methods

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Improving Transferability of Domain Adaptation Networks through Domain Alignment Layers 34

Improving Transferability of Domain Adaptation Networks Thro...

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34th SIBGRAPI Conference on graphics, Patterns and images (SIBGRAPI)

作者： Silva, Lucas F. A. Pedronette, Daniel C. G. Faria, Fabio A. Papa, Joao P. Almeida, Jurandy Univ Fed Sao Paulo UNIFESP Inst Ciencia & Tecnol Sao Jose Dos Campos SP Brazil Sao Paulo State Univ UNESP Dept Stat Appl Math & Comp Rio Claro SP Brazil Sao Paulo State Univ UNESP Dept Comp Bauru SP Brazil

ISBN: (纸本)9781665423540

Deep learning (DL) has been the primary approach used in various computer vision tasks due to its relevant results achieved on many tasks. However, on real-world scenarios with partially or no labeled data, DL methods are also prone to the well-known domain shift problem. Multi-source unsupervised domain adaptation (MSDA) aims at learning a predictor for an unlabeled domain by assigning weak knowledge from a bag of source models. However, most works conduct domain adaptation leveraging only the extracted features and reducing their domain shift from the perspective of loss function designs. In this paper, we argue that it is not sufficient to handle domain shift only based on domain-level features, but it is also essential to align such information on the feature space. Unlike previous works, we focus on the network design and propose to embed Multi-Source version of DomaIn Alignment Layers (MS-DIAL) at different levels of the predictor. these layers are designed to match the feature distributions between different domains and can be easily applied to various MSDA methods. To show the robustness of our approach, we conducted an extensive experimental evaluation considering two challenging scenarios: digit recognition and object classification. the experimental results indicated that our approach can improve state-of-the-art MSDA methods, yielding relative gains of up to +30.64% on their classification accuracies.

关键词： graphics Deep learning computer vision Adaptation models Predictive models Feature extraction Robustness

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Hierarchical skeleton-based implicit model

Hierarchical skeleton-based implicit model

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Proceedings of the 1997 10th brazilian symposium of computer Graphic and image processing, SIBGRAPI 97

作者： Malheiros, Marcelo De Gomensoro Wu, Shin-Ting Universidade Estadual de Campinas Campinas Brazil

Implicit modeling is a recent trend in computer graphics and a variety of skeleton-based models has been proposed. In this paper we present a hierarchical framework that can encompass a wide range of these variants, providing a more flexible way for defining the shape of implicit objects. We also derive a new decay function, which is computationally cheap.

关键词： computer graphics

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DRIFT: A visual analytic tool for scientific literature exploration based on textual and image content 34

DRIFT: A visual analytic tool for scientific literature expl...

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34th SIBGRAPI Conference on graphics, Patterns and images (SIBGRAPI)

作者： Pocco, Ximena Poco, Jorge Viana, Matheus de Paula, Rogerio Nonato, Luis G. Gomez-Nieto, Erick Univ Catolica San Pablo Dept Comp Sci Arequipa Peru Getulio Vargas Fdn Sch Appl Math Rio De Janeiro Brazil IBM Res Sao Paulo Brazil Univ Sao Paulo ICMC Sao Carlos Brazil

ISBN: (纸本)9781665423540

Exploring digital libraries of scientific articles is an essential task for any research community. the typical approach is to query the articles' data based on keywords and manually inspect the resulting list of documents to identify which papers are of interest. Besides being time-consuming, such a manual inspection is quite limited, as it can hardly provide an overview of articles with similar topics or subjects. Moreover, accomplishing queries based on content other than keywords is rarely doable, impairing finding documents with similar images. In this paper, we propose a visual analytic methodology for exploring and analyzing scientific document collections that consider the content of scientific documents, including images. the proposed approach relies on a combination of Content-Based image Retrieval (CBIR) and multidimensional projection to map the documents to a visual space based on their similarity, thus enabling an interactive exploration. Additionally, we enable visual resources to display complementary information on selected documents that uncover hidden patterns and semantic relations. We show the effectiveness of our methodology through two case studies and a user evaluation, which attest to the usefulness of the proposed framework in exploring scientific document collections.

关键词： Visual analytics Semantics image retrieval Manuals Inspection Libraries Task analysis

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An image processing and belief network approach to face detection 12

An image processing and belief network approach to face dete...

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12th brazilian symposium on computer graphics and lmage processing, SIBGRAPI 1999

作者： De Souza Coelho, P.S. Esperanca, C. De Oliveira, A.A.F. Laboratório de Computação Gráfica COPPe - Programa de Engenharia de Sistemas e Computação Caixa Postal 68511 Rio de Janeiro RJCEP 21945-970 Brazil

ISBN: (纸本)0769504817

this paper describes an approach to face detection, which is the first stage of any fully automated human face recognition system. We propose several enhancements to a feature-based approach described by K.C. Yow and R. Cipolla (1997) in an attempt to obtain more accurate results: namely, the attentive feature selection and grouping phases are modified in order to deal with incomplete feature detection while, at the same time, reducing the number of candidates and candidate groups considered. © 1999 IEEE.

关键词： Face recognition

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A project for hand gesture recognition 13

A project for hand gesture recognition

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13th brazilian symposium on computer graphics and image processing, SIBGRAPI 2000

作者： Dionisio, Carlos R.P. Cesar, Roberto M. Department of Computer Science Univ. of São Paulo Caixa Postal 66.281 São Paulo SP05315-970 Brazil

this work discusses an ongoing project for hands gesture recognition in computer vision systems. the proposed approach is based on the shape analysis tools introduced in [1]. More specifically, the wavelet transform w... 详细信息

ISBN: (纸本)0769508782

关键词： Wavelet transforms

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computerized tomography image compression: FIC × WTC 13

Computerized tomography image compression: FIC × WTC

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13th brazilian symposium on computer graphics and image processing, SIBGRAPI 2000

作者： Pizzio, Robinson Franco, Paulo R.G. PUCRS - Campus Universitãrio II Departamento de Informática Caixa Postal 249 Uruguaiana RS Brazil PUCRS - Campus Central Departamento de Engenharia Elétrica Caixa Postal 515 Porto Alegre RS Brazil

ISBN: (纸本)0769508782

this technical poster studies the advantages and disadvantages of Fractal image Compression (FIC) compared to Wavelet Transform Compression (WTC). Our results indicate that there is an advantage in FIC for high compression ratios when we take the image quality into account. Considering the compression speed we have a significant difference, which indicates that WTC is much faster than FIC. © 2000 IEEE. [1] M. Antonini, M. Barlaud, P. Mathieu, and I. Daubechies. image coding using wavelet transform. IEEE Trans. on image processing, 1:205-220, 1992.

关键词： image compression

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