• An improved multi-scale morphological edge detection algorithm is presented.

    提出一种改进的多尺度形态边缘检测算法。

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  • An adaptive multi scale edge detection algorithm and its fast implementation are presented in this paper.

    提出了自适应多尺度边缘检测算法及其快速实现办法。

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  • By applying wavelet analysis method to image edge detection, multi scale operator of wavelet analysis functions well for noise resisting ability and picture edge reserving.

    将小波分析方法应用于图像边缘检测领域,小波分析的多尺度算子在抗噪声和保留图像边缘的能力上有比较好的效果。

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  • Filtering the intensity image by CB morphological filters, the idea of CB morphological scale space is constructed, by which to realize multi scale corner detection.

    用CB形态滤波器对灰度图进行滤波,构成CB形态学尺度空间,以实现对拐角的多尺度检测。

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  • Local gray histogram statistics is applied to object detection in the images with multi-scale fractal feature.

    在多尺度分形新特征图像中采用局部直方图统计方法进行目标检测。

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  • In this paper, a new method of multi-scale and adaptive thresholds edge detection for image based on wavelet transform was adopted to detect edge of traffic vehicle.

    本文把基于小波变换的多尺度自适应阈值图像边缘检测的新方法应用于交通图像边缘检测。

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  • An anomaly detection model based on the multi-feature similarity in large-scale network is proposed in this paper.

    提出了大规模网络中一种基于相似度的异常检测模型。

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  • Regarding this, a novel feature level approach to image fusion is proposed based on discrete dyadic wavelet transform for multi-scale image edge detection.

    本文提出了一种基于离散二进小波变换的多尺度边缘检测和图像融合的方法,实现了特征级图像融合。

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  • This paper expatiates the notion of image fractal dimension and multi-scale fractal feature, proposes a ship target detection method based on multi-scale fractal feature.

    阐述了图像分形维和多尺度分形特征的概念,提出了一种多尺度分形目标检测方法。

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  • Visual attention; Contour detection; Non-classical receptive field; Multi-scale analysis; Visual monitoring platform.

    视觉注意;轮廓检测;非经典感受野;多尺度分析; 视觉监测平台。

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  • In this paper, the orange outer quality detection is carried by the orange infrared spectroscopy and the orange image character based on multi-scale geometry analysis and machine learning.

    本文基于多尺度技术和机器学习结合柑桔图像特征和红外光谱特征进行柑桔外在品质检测。

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  • Input image is resampled via constant ratio in order to deal with the problem of multi scale detection.

    采用比固定比率压缩输入图象的方法解决不同尺度有脸的检测问题。

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  • In order to get anti-noise and good localization image edges, a new fuzzy multi-scale edge detection algorithm is presented in this paper.

    为了获取抗噪性强、定位准确的边缘,本文提出了模糊多尺度边缘检测算法。

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  • In this paper we present a new morphological edge detection method using a multi-scale approach.

    提出一种适应于显微图像的多尺度形态边缘检测算法。

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  • In the methodology part, after a comprehensive literature review, we present an algorithm framework of multi-scale feature detection and fusion for different applications.

    研究部分,在充分回顾总结前人工作的基础上,本文提出了一种多尺度融合的特征检测算法框架,以适应不同的应用场景。

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  • In this thesis, we study on text detection. It includes five parts: pre-process, multi-scale analysis, feature extraction, classification and text area extraction.

    本文针对文本区域提取这个问题来进行研究,包含预处理、多分辨分析、特征提取、分类(检测)、区域提取五个步骤来解决文本区域的准确提取问题。

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  • Then design wavelet multi-scale edge detection algorithm based on fuzzy theory.

    研究基于过采样滤波器组的多尺度边缘检测算法。

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  • On the basis of expounding the basic principle using 2-d wavelet transform for seismic attributes data, the paper built up the effective flow used for multi-scale edge detection of image.

    本文在阐明二维小波变换用于地震属性数据基本原理的基础上,建立了小波变换用于图像多尺度边缘检测的有效流程。

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  • On the basis of expounding the basic principle using 2-d wavelet transform for seismic attributes data, the paper built up the effective flow used for multi-scale edge detection of image.

    本文在阐明二维小波变换用于地震属性数据基本原理的基础上,建立了小波变换用于图像多尺度边缘检测的有效流程。

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