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Intelligent perception system for food quality inspection using color analysis

Intelligent perception system for food quality inspection us...

引用

Proceedings of the 1995 IEEE International conference on image processing. Part 3 (of 3)

作者： Barni, M. Mussa, A.W. Mecocci, A. Cappellini, v. Durrani, T.S. Univ of Florence Firenze Italy

Modern manufacturing systems call for full-rate automated inspection of produced samples. In this paper a vision-based Intelligent Perception System (IPS) is presented making automated inspection of chicken meat feasible. The IPS analyzes RGB images framing the chickens after the slaughtering and plucking process and detects defects such as burns, hematomas and blisters, along with other relevant features. The vision module, which is the core of the system, operates by first extracting the chicken body from the background, then it segments the body into its anatomic subparts. Defective areas are identified by means of morphological reconstruction. Finally, defects are classified by comparing their features against the defect description contained in a reference database.

关键词： Computer vision

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Textured images segmentation by a multiresolution morphological decomposition method

Textured images segmentation by a multiresolution morphologi...

引用

European Signal processing conference (EUSIPCO)

作者： A. Ploix v. Chen P. Leclere M. Roussel LAM - Equipe de Troyes - LTI - IUT de TROYES BP 396 - 10026 TROYES CEDEX - France

This contribution deals with the textured images segmentation. The model exploits morphological operators and order filters properties. A morphological decomposition filters bank is built to isolate elementary patterns by decomposing the textural image characteristics. The 1 and 2 order statistic moments and the gradient means are computed in order to select the best feature component image which allows to perform the image segmentation. The method is illustrated by a real image randomly textured.

关键词： image segmentation image resolution Nonlinear filters Filtering theory Noise Morphology Signal resolution

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Detail-preserving morphological filters in noise suppression

Detail-preserving morphological filters in noise suppression

引用

International conference on Signal processing Proceedings (ICSP)

作者： W. Li B. Ogor v. Haese-Coat J. Ronsin Laboratoire ARTIST INSA Rennes France

We present an impulsive noise suppression scheme using morphological filters. These filters are composed of directional morphological opening and closing both by reconstruction. A series of structuring elements with different geometrical forms in directional morphological opening and closing are investigated and different masks in grayscale image reconstruction are evaluated. The comparisons in the noise suppression and detail preservation abilities between our scheme and other nonlinear filters are studied. Investigations are also given in the reconstruction abilities by using different structuring elements in geodesic erosion and dilatation.

关键词： image reconstruction Gray-scale Nonlinear filters Filtering Telephony Electronic mail image processing image analysis Signal analysis Geometry

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Robust morphological features for texture classification

Robust morphological features for texture classification

引用

IEEE International conference on image processing

作者： Wei Li v. Hease-Coat J. Ronsin Laboratoire ARTIST INSA Rennes France

In the present paper, a set of robust texture features based on morphological residues of opening or closing by reconstruction is introduced. This set of features is proven much more robust to noise than those based on traditional morphological residues. The robustness to noise of this set of features is investigated in detail. An algorithm is constructed to select the most discriminating feature subset. In texture classification experiments, it is found that this feature subset bears high robustness to various noises even when the noise levels are quite high.

关键词： image reconstruction Noise robustness Pixel Feature extraction Filtering Gabor filters Gaussian noise Noise level Telephony Testing

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morphological expressions for DTCNN functions

Morphological expressions for DTCNN functions

引用

International conference on Neural Networks

作者： M.H. ter Brugge R.J. Krol J.A.G. Nijhuis L. Spaanenburg Department of Computing Science University of Groningam Groningen Netherlands

Morphology is a mathematical discipline that provides algebraic manipulation for images. Such a formal framework is very well suited to the design of discrete-time cellular neural networks (DTCNNs). It is shown how morphological expressions can be transformed by algebraic rules to provide an efficient DTCNN implementation for complex operations on images. In fact, most specialized DTCNNs published in literature prove to be straight morphological derivatives, as exemplified in the design of a public transport ticketing system.

关键词： Morphology Cellular neural networks image processing Partial differential equations Difference equations Differential algebraic equations Physics computing image analysis algebra Zinc

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Junction detection and filtering: a morphological approach

Junction detection and filtering: a morphological approach

引用

IEEE International conference on image processing

作者： v. Caselles B. Coll J.-M. Morel Department of Mathematics UIB Palma de Mallorca Spain CEREMADE University of Paris-Dauphine Paris France

We discuss the physical generation process of images as a combination of basic operations: occlusions, transparencies and contrast changes. These operations generate the essential singularities which we call junctions. We deduce a mathematical and computational model for image analysis according to which the "atoms" of the image must be "pieces of level lines joining junctions", fitting the phenomenological description of Gaetano Kanizsa (1990). A parameter free junction detection algorithm is proposed for the computation of the previously defined "atoms". Then we propose an adequate modification of the morphological filtering algorithms so that they smooth the "atoms" without altering the junctions. Finally, we give some experiments on real and synthetic images.

关键词： image edge detection image processing image generation Light sources image analysis Filtering algorithms Mathematics Mathematical model Detection algorithms Accidents

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Robust feature extractors based on morphological residues of filtering by reconstruction

Robust feature extractors based on morphological residues of...

引用

International conference on Signal processing Proceedings (ICSP)

作者： W. Li v. Hease-Coat J. Ronsin Inst. Nat. des Sci. Appliques Rennes France Laboratoire ARTIST INSA Rennes France

We perform a set of texture feature detectors based on morphological residues of opening or closing by reconstruction. This set of feature detectors is proven much more robust to noise than those which based on traditional morphological residues. The robustness of the set of features to noise is investigated in detail qualitatively and quantitatively. It is found that this feature set bears high robustness both to different noise types and noise levels.

关键词： Feature extraction Filtering image reconstruction Noise robustness morphological operations image segmentation Computer vision Noise shaping Noise level Signal to noise ratio

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DETAIL-PRESERvING morphological FILTERS IN NOISE SUPPRESSION

DETAIL-PRESERVING MORPHOLOGICAL FILTERS IN NOISE SUPPRESSION

引用

1996 3rd International conference on Signal processing(ICSP’96)

作者： Wei LI Benoit OGOR vronique HAESE-COAT Joseph RONSIN INSA Laboratoire ARTIST 20Avenue des Buttes de Coesmes35043 RENNESFRANCE

We present an impulsive noise suppression scheme using morphological *** filters are composed of directional morphological opening and closing both by reconstruction.A series of structuring elements with different geometrical forms in directional morphological opening and closing are investigated and different masks in grayscale image reconstruction are *** comparisons in noise suppression and detail preservation abilities between our scheme and other nonlinear filters are *** are also given in reconstruction abilities by using different structuring elements in geodesic erosion and dilatation.

关键词： image DETAIL-PRESERvING morphological FILTERS IN NOISE SUPPRESSION

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Methods for writer identification

Methods for writer identification

引用

IEEE International conference on Electronics, Circuits and Systems (ICECS)

作者： E.N. Zois v. Anastassopoulos Electronics Laboratory Physics Department University of Patras Patras Greece

Relatively simple methods for writer identification are presented in this work. The problems related to image acquisition, image preprocessing, feature selection and extraction as well as clustering and identification are analyzed. A couple of features is proposed towards a better discrimination result. The first feature is obtained using a morphological transformation of the word projection on the vertical axis, while the other from a local operation procedure using moments.

关键词： Writing Feature extraction Character recognition Fluctuations Laboratories Physics image analysis Backpropagation Text processing Performance analysis

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Neighborhood operation binary image algebra and its optical implementation

Neighborhood operation binary image algebra and its optical ...

引用

conference on visual Information processing Iv

作者： YUAN, SF JIN, GF WU, MX YAN, YB TSING HUA UNIV DEPT PRECIS INSTRUMENTSBEIJING 100084PEOPLES R CHINA

ISBN: (纸本)0819418412

A neighborhood operation binary image algebra (NOBIA) which has only one basic operation is presented and developed. The basic operation of NOBIA is a convolusion followed by a nonlinear filtering function and then an intersection operation. The parallel architecture of an optical neighborhood operation digital image processor is designed to efficiently perform the parallel morphological image processing algorithm provided by NOBIA, and the optical implementation hardware of the processor is discussed. Using an incoherent optical convoluter as a 3D free space interconnection device, a smart LCLv as an optical nonlinear device, and a simple optical circuit for intersection operation, an optical hardware is constituted and used to realize the basic operation of NOBIA experimentally. Any image transformation can be performed with this hardware by executing the basic operation repeatedly according to proper iterative programming.

关键词： morphological image processing OPTICAL INFORMATION processing image algebra

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