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An Efficient Evolutionary Image Segmentation Algorithm,非常经典的文章!-An Efficient Evolutionary Image Segmentation Algorithm, a very classic article!
Date : 2025-12-13 Size : 739kb User : 张杰

Mean Shift算法的基本原理,着重研究了Mean Shift的迭代过程和收敛性以及特征空间的结构。通过Mean Shift结构分析,本章提出了一种快速区域合并算法并将其应用于改进的Mean Shift图像分割算法。-The basic principle of the Mean Shift algorithm, focusing on the Mean Shift iteration process and convergence and the structure of the feature space. Mean Shift structural analysis, this chapter proposes a fast region merging algorithm and apply the Improved Mean Shift image segmentation algorithm.
Date : 2025-12-13 Size : 1.25mb User : waiwai

Automatic Image Segmentation by Dynamic Region Merging
Date : 2025-12-13 Size : 1.66mb User : JOSEPH

本文针对()*+, 模型应用于图像边缘检测时对于噪音过于敏感的不足和易于从弱边界溢出!提出了一种 新的约束力" 在新的约束力的作用下!()*+, 模型可以很好地减小噪音的干扰!防止曲线溢出弱边界!并使初始曲 线具有更大的选择空间!使模型的分割性能更好" 实验证明该模型可以分割出较好的目标边界"-In this paper, ()*+ model is applied to the image edge detection too sensitive to the lack of noise and easy from weak boundary overflow! Propose a new binding " in the role of the new binding ()*+ model can reduce the noise interference! to prevent curve overflow the weak boundary! make initial curve has more room for choice! better " model segmentation performance experiments show that the model can better target segmentation boundary
Date : 2025-12-13 Size : 340kb User : 罗朝辉

I WANT SOURCE CODE FOR IMAGE SEGMENTATION
Date : 2025-12-13 Size : 572kb User : lalitha

一种有效的SAR图像水陆分割方法,是一篇论文-An effective amphibious SAR image segmentation method
Date : 2025-12-13 Size : 258kb User : 王子蒙

低对比度下的图像分割算法的研究。实现低对比度图像的增强。-image segmentation algorithm study for low contrast image
Date : 2025-12-13 Size : 89kb User : ludasu

一篇关于图像分割很好的外文文献,希望对大家有帮助-A good image segmentation on foreign literature, we want to help
Date : 2025-12-13 Size : 901kb User : zhuangzhenzhen

This paper presents the segmentation algorithm used for localization of iris for the development of robust iris recognition algorithms for biometric process. Iris localization plays a vital importance in iris identification. The method determines an automated threshold for binarising and determines the pupil center based on a histogram of gray scale image. We present a detail comparison of several segmentation algorithms used in the current iris recognition systems-This paper presents the segmentation algorithm used for localization of iris for the development of robust iris recognition algorithms for biometric process. Iris localization plays a vital importance in iris identification. The method determines an automated threshold for binarising and determines the pupil center based on a histogram of gray scale image. We present a detail comparison of several segmentation algorithms used in the current iris recognition systems..
Date : 2025-12-13 Size : 225kb User : avinash trivedi

Genetic Algorithm Image Segmentation
Date : 2025-12-13 Size : 55kb User : Vikram
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