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4th IEEE International Conference on pattern recognition and Machine Learning, PRML 2023

作者： Feng, Ju Ling, Xufeng Wang, Yubo Yang, Jie Shanghai Normal University Tianhua College School of Artificial Intelligence Shanghai China Shanghai Acoustics Laboratory Chinese Academy of Sciences Shanghai China Inst. of Image Proc. and Pattern Recog. and Inst. of Medical Robotics Shanghai Jiaotong University Shanghai China

ISBN: (纸本)9798350324303

Due to the similarity in mushroom features and the difficulty in distinguishing between poisonous and nonpoisonous varieties, mushrooms pose a threat to human health. To address the challenge of mushroom classification and identification, this paper proposes a mushroom classification method based on residual networks. Firstly, a network architecture with multiple residual blocks is designed, and it is trained using an image dataset. Then, a transfer learning strategy is employed to initialize the network parameters from a pre-Trained model, followed by fine-Tuning to adapt to the mushroom classification task. Finally, multiple testing experiments are conducted to evaluate the effectiveness of the proposed method. The experimental results demonstrate excellent performance of the proposed method in mushroom classification tasks. Compared to traditional feature extraction methods, it can better capture the details and texture features of mushrooms, thereby improving classification accuracy. In conclusion, the mushroom classification method based on residual networks exhibits high accuracy and generalization capability. This method has potential applications in the field of mushroom classification, aiding in the better identification and differentiation of poisonous mushrooms, thereby protecting human health. © 2023 IEEE.

关键词： Convolutional neural networks

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Characterizing Obstacle-Avoiding Paths Using Cohomology Theory

Characterizing Obstacle-Avoiding Paths Using Cohomology Theo...

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14th International Conference on Computer Analysis of images and patterns (CAIP)

作者： Dlotko, Pawel Kropatsch, Walter G. Wagner, Hubert Jagiellonian Univ Inst Comp Sci PL-31007 Krakow Poland Vienna Univ Technol Pattern Recognition & Image Proc Grp Vienna Austria

ISBN: (纸本)9783642236716;9783642236723

In this paper, we investigate the problem of analyzing the shape of obstacle-avoiding paths in a space. Given a d-dimensional space with holes, representing obstacles, we ask if certain paths are equivalent, informally if one path can be continuously deformed into another, within this space. Algebraic topology is used to distinguish between topologically different paths. A compact yet complete signature of a path is constructed, based on cohomology theory. Possible applications include assisted living, residential, security and environmental monitoring. Numerical results will be presented in the final version of this paper.

关键词： obstacle-avoidance cohomology generators trajectory planning problem

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Object localization based on Markov random fields and symmetry interest points

Object localization based on Markov random fields and symmet...

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10th International Conference on Medical image Computing and Computer-Assisted Intervention (MICCAI 2007)

作者： Donner, Rene Micusik, Branislav Langs, Georg Szumilas, Lech Peloschek, Philipp Friedrich, Klaus Bischof, Horst Graz Univ Technol Inst Comp Graph & Vis A-8010 Graz Austria Vienna Univ Technol Pattern Recognition & Image Proc Grp Vienna Austria Ecole Cent Paris GALEN Grp Math Appl Syst Paris France Med Univ Vienna Dept Radiol Vienna Austria

ISBN: (纸本)9783540757580

We present an approach to detect anatomical structures by configurations of interest points, from a single example image. The representation of the configuration is based on Markov Random Fields, and the detection is performed in a single iteration by the MAX-SUM algorithm. instead of sequentially matching pairs of interest points, the method takes the entire set of points, their local descriptors and the spatial configuration into account to find an optimal mapping of modeled object to target image. The image information is captured by symmetry-based interest points and local descriptors derived from Gradient Vector Flow. Experimental results are reported for two data-sets showing the applicability to complex medical data.

关键词： Medical imaging

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Line-based scan compression algorithm suitable for remote sensing images

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Yuhang Xuebao/Journal of Astronautics 2005年第1期26卷 60-65+76页

作者： Wang, Zhen-Hua Tian, Jin-Wen Liu, Jian Lab. for Image Proc. Inst. for Pattern Recognition Huazhong Univ. of Sci. and Technol. Wuhan 430074 China

In this paper, a line-based scan image compression algorithm with low complexity was presented. The algorithm was based on Christos Chrysalis's line-based wavelet transformation coding. There was not image tiling in the algorithm. The supposed algorithm modeled with contexts for different subband after quantifying wavelet coefficients uniformly. A modified Golomb-Rice algorithm with low complexity was adopted as entropy coder. The experiment shows that the memory requirement of the algorithm is far less than that of the SPIHT in compressing images with huge size. The complexity of the entropy coding of the algorithm is reduced largely. The algorithm is especially appropriate for remote sensing image compression system with power and space limited.

关键词： Coding Line-based scan Remote sensing Wavelet transformation

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Regularized restoration algorithm of astronautical turbulence-degraded images using maximum-likelihood estimation

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Hongwai Yu Haomibo Xuebao/Journal of Infrared and Millimeter Waves 2005年第2期24卷 130-134页

作者： Hong, Han-Yu Zhang, Tian-Xu Yu, Guo-Liang Lab. of Image Proc. Inst. for Pattern Recognition and AI Huazhong Univ. of Sci. and Technol. Wuhan 430074 China

A regularized restoration algorithm based on maximum-likelihood estimation was presented for restoring object images from the noisy turbulence-degraded images. The logarithmic maximum-likelihood function for multi-frame image data based on the model of image random field was built, and some auxiliary terms to smooth noise while preserve the edges of images and the penalized item to avoid trivial solutions were added to the maximum-likelihood function. The iterative formulas of calculating the PSFs and object image were derived so that the PSFs and the object image could be estimated in the iterative manner. A parallel proc.ssing scheme for the algorithm is also proposed. The restoration experiments on the simulated turbulence-degraded images in the case of noise show that the proposed algorithm has high ability of noise-resisting and it has some practical applications.

关键词： image proc.ssing

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Vision pyramids that do not grow too high

Vision pyramids that do not grow too high

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作者： Kropatsch, Walter G. Haxhimusa, Yll Pizlo, Zygmunt Langs, Georg Inst. of Computer Aided Automation Pattern Recog. Image Proc. G. Vienna University of Technology Favoritenstrasse 9 A-1040 Vienna Austria Department of Psychological Sciences Sch. of Elec. and Comp. Engineering Purdue University West Lafayette IN 47907-1364 United States Inst. for Comp. Graphics and Vision Graz University of Technology Inffeldgasse 16 2.OG A-8010 Graz Austria

In irregular pyramids, their vertical structure is not determined beforehand as in regular pyramids. We present three methods, all based on maximal independent sets from graph theory, with the aim to simulate the major sampling properties of the regular counterparts: good coverage of the higher resolution level, not too large sampling gaps and, most importantly, the resulting height, e.g. the number of levels to reach the apex. We show both theoretically and experimentally that the number of vertices can be reduced by a factor of 2.0 at each level. The plausibility of log (diameter) pyramids is supported by psychological and psychophysical considerations. Their technical relevance is demonstrated by enhancing appearance-based object recognition. An irregular pyramid hypothesis generation for robust PCA through top-down attention mechanisms achieves higher speed and quality than regular pyramids and non-pyramidal approaches. © 2004 Elsevier B.V. All rights reserved.

关键词： Object recognition

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Multisensor aerial image registration using direct histogram specification

Multisensor aerial image registration using direct histogram...

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Conference proc.eding - 2004 IEEE International Conference on Networking, Sensing and Control

作者： Tuo, Hongya Zhang, Lin Liu, Yuncai Inst. of Image Proc./Pattern Recog. Shanghai Jiao Tong University Shanghai

ISBN: (纸本)0780381939

Multisensor image registration is a difficult problem. In this paper, we give a new registration method using direct histogram specification technique. We find that after using histogram specification, the resulting images with the same view look more similar, though the original images gained by different sensors differ much in intensity. Based on this property, a novel approach to find matching block pairs is proposed. The centers of the block pairs are used as control points (cps). We also use the cluster method of the nearest function criterion to test the correctness of the cps and discard wrong ones. The algorithm has been tested by many aerial images of different sensors. The effectiveness is illustrated by the experimental results.

关键词： Face recognition

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The role of context and model in urban aerial image interpretation focusing on buildings

The role of context and model in urban aerial image interpre...

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Conference proc.eding - 2004 IEEE International Conference on Networking, Sensing and Control

作者： Peng, Jing Liu, Yuncai Inst. of Image Proc./Pattern Recog. Shanghai Jiaotong University Shanghai China

ISBN: (纸本)0780381939

Guided by a building concept model, which interprets building into different levels and scales, this paper presents a method to extract buildings in monocular urban aerial images without priori illuminating or orientation knowledge. By using a shadow context model, a method was proposed to estimate the direction of shadow cast to verify the raw segmentations. Building extractions are refined by context, and a method of partial snake with the aid of the shadow cast direction is proposed, which can sharply reduce the iteration complexity and the influence caused by illumination. The extraction of self-shadow on gable roof with a proposed mathematical roof model is also discussed in this paper.

关键词： Aerial photography

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Estimation of camera pose using 20-30 occluded corner correspondence

Estimation of camera pose using 20-30 occluded corner corres...

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2004 7th International Conference on Signal proc.ssing proc.edings (ICSP'04)

作者： Fanhuai, Shi Xiaoyun, Zhang Hongjian, Liu Yuncai, Liu Inst. Image Proc. and Pattern Recog. Shanghai Jiaotong University Shanghai 200030 China

In this paper, we investigate how camera pose can be estimated from 2D to 3D corner correspondence when vertex of the corner is occluded. We show that the image coordinate of the occluded vertex can be easily estimated from the image edge lines by an analytical method. Then the camera pose parameters can be recovered from 2D to 3D correspondences of the corner and a nonsingular point on it over a single view. A ground truth comparison is made by experiments using controlled scenes, which shows that the method is promising.

关键词： image proc.ssing

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Nonlinear spectral similarity measure

Nonlinear spectral similarity measure

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2004 IEEE International Geoscience and Remote Sensing Symposium proc.edings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004

作者： Hong, Tang Tao, Fang Pengfei, Shi Inst. Image Proc. and Pattern Recog. Shanghai Jiao Tong University Shanghai 200030 China

A novel method for spectral similarity measure, which is called nonlinear spectral similarity measure, is presented in this paper. In this method, all original spectral vectors are, firstly, nonlinearly transformed into a feature space. Next, kernel PCA is used to construct a set of orthogonal coordinate base in feature space. All transformed spectral vectors are projected onto the orthogonal coordinate space. In kernel principal component analysis (KPCA), the nonlinear translation function is implicatively implemented by kernel function. Moreover, all projected spectral vectors are constrained by spectral continuum removal curve. Because of continuum removal curve, various bands contribute the similar measurement in different. The more absorption is the more the contribution in similarity measurement. At last, linear or general linear similarity measure, for example spectral angle mapper, was used to measure the similarity between two nonlinearly transformed spectra. Our experiments show that this method is effective in spectral similarity measure.

关键词： Remote sensing

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