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关于pcnn图像分割的VHDL语言编写的程序,使用的是DE2板子-segmentation based on PCNN was implemented by FPGA
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图像分割 matlab 直接运行 基于k均值-Matlab image segmentation based on k-means run directly
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Iris segmentation based on integro-differential operator
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基于全局抑制局部兴奋振荡神经网络思想的图像分割方法，-image segmentation based on locally excitatory globally inhibitory oscillator
networks
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Image segmentation based on fusion of edge information and region growing with the use of Markov random fields
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一种融合了色彩信息和空间信息的色彩分割算法，基于OpenCv，分割效果明显优于JSEG算法，K-means算法C-means算法等常见算法，是中科院863计划的项目，我进行了修改和平台移植，有详细的注释。-a efficient algorithm for colorful pic segmentation based on OpenCv
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基于lab色彩空间的k-means彩色图像分割算法-color picture segmentation based on lab color－space and k-means
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基于马尔科夫随机场的SAR图像分割方法，对应于采用最大后验概率准则对SAR目标切片图像分割，采用聚类分析算法求解。-SAR image segmentation based on Markov random fields, which corresponds to using the maximum posterior probability criteria for SAR Target Chip Image segmentation using cluster analysis algori
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基于正交矩的纹理分割，介绍了旋转矩，正交矩，ledengre矩等。-Texture segmentation based on orthogonal moments, rotational moments, orthogonal moments, ledengre moment and so on.
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多种基于阈值的图像分割方法，助于对基于阈值的图像分割技术有深入的学习研究-Various kinds of Image Segmentation based on threshould
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对图像进行二值分割处理，实现前景物体和背景的分离。-This programe conducts image segmentation based on binarization method to seperate the foreground object from the backgroud.
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图像多阈值分割之基于智能阈值技术的图像分割-Image multi-threshold segmentation of image segmentation based on intelligent thresholding techniques
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多类 kmeans 图像分割，基于灰度的图像分割。-Kmeans image segmentation, segmentation based on gray-scale images.
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通过几个例子介绍图像分割的几种方法，适合初学者学习-Through several examples introduce several methods of image segmentation, suitable for beginners to learn
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基于改进 PSO算法的 Otsu快速多阈值图像分割,基于 Renyi 熵与 PSO 算法的图像多级阈值分割-Fast Multilevel Threshold Method for Image Segmentation Based on Improved
Particle Swarm Optimization and Maximal Variance,Image multi-thresholding using Renyi entropy and PSO
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基于粒子群的阈值分割，毕业设计里的一部分，分割效果良好-Threshold segmentation based on particle swarm, part of the graduation design in the segmentation effect is good
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new mathematical and algorithmic framework for unsupervised image segmentation, which is a critical step in a wide variety of image processing applications. We have found that most existing segmentation methods are not successful on histopathology im
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系统地介绍总结了基于贝叶斯理论的陆海SAR图像分割-Systematic introduction summarizes the sea SAR image segmentation based on bayesian theory
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这是一个基于c语言的在cvi9.0上运行的自动阈值分割.-This is an automatic threshold segmentation based on cvi9.0 running c language.
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基于紧框架的血管结构的图像分割，是一篇最近的SCI论文，其中详述了紧框架理论和在图像分割中的应用-Image segmentation based on the vascular structure of the tight framework of SCI is a recent paper, detailing the tight framework of the theory and application of image segmentation
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