搜索结果: 1-11 共查到“image segmentation”相关记录11条 . 查询时间(0.138 秒)
MILCut: A Sweeping Line Multiple Instance Learning Paradigm for Interactive Image Segmentation
Sweeping Line Multiple Instance Learning Paradigm Interactive Image Segmentation
2016/1/22
Interactive segmentation, in which a user provides a bounding box to an object of interest for image segmenta-tion, has been applied to a variety of applications in im-age editing, crowdsourcing, comp...
VERY HIGH SPATIAL RESOLUTION IMAGE SEGMENTATION BASED ON THE MULTIFRACTAL ANALYSIS
Remote Sensing Vision Analysis Algorithms Texture Segmentation High Resolution Multifractal CDROM
2015/7/29
The availability of very high spatial resolution images in remote sensing brings the texture segmentation of images to a higher level
of complexity. Such images have so many details that the classic...
Performance analysis of EM-MPM and K-means clustering in 3D ultrasound breast image segmentation
segmentation EM-MPM ultrasound
2015/1/20
Mammographic density is an important risk factor for breast cancer, detecting and screening at an early stage could help save lives. To analyze breast density distribution, a good segmentation algorit...
3D EM/MPM MEDICAL IMAGE SEGMENTATION USING AN FPGA EMBEDDED DESIGN IMPLEMENTATION
FPGA 3D image
2015/1/20
This thesis presents a Field Programmable Gate Array (FPGA) based embedded system which is used to achieve high speed segmentation of 3D images. Segmenta- tion is performed using Expectation-Maximizat...
3D Image Segmentation Implementation on FPGA Using EM/MPM Algorithm
3D Image FPGA Hardware Implementation EM/MPM Algorithm
2015/1/20
In this thesis, 3D image segmentation is targeted to a Xilinx Field Programmable Gate Array (FPGA), and verified with extensive simulation. Segmentation is performed using the Expectation-Maximization...
基于PSO与K-均值算法的农业超绿图像分割方法（Agriculture Extra-green Image Segmentation Based on Particle Swarm Optimization and K-means Clustering）
图像分割 微粒群算法 K均值算法
2009/9/11
为了解决K-均值算法对农业图像中常用的超绿特征2G—R—B图像分割效果不佳的缺点，提出一种基于微粒群与K均值算法的图像分割方法。先用K均值算法对图像进行快速分类，然后将分类结果作为其中一个微粒的结果，利用微粒群算法计算，最后用K-均值算法在新的分类基础上计算新的聚类中心，更新当前的位置，以得到最优的图像分割阈值。试验结果表明，改进算法对超绿特征2G—R—B图像能够准确分割目标，且对不同类型的农业超...
PolSAR Image Segmentation by Mean Shift Clustering in the Tensor Space
Polarimetric synthetic aperture radar (PolSAR) image segmentation mean shift clustering Riemannian manifold
2009/8/24
We present an unsupervised segmentation algorithm for the
fully polarimetric synthetic aperture radar (PolSAR) data by
employing the mean shift clustering. The previous work using the
span values o...
通过直方图分析，建立了适用于棉花异性纤维图像的增强模型；提出了改进Otsu法，并对Otsu方法的分割效果进行了深入分析。实验结果表明，所有棉花异性纤维图像的灰度直方图基本都呈单峰特性；所建的增强模型可以显著提高异性纤维目标与皮棉背景之间的对比度；改进Otsu法将最佳阈值的搜索范围从0～255缩减到150～230，使此环节的计算速度提高了2倍多。
Image segmentation based on fuzzy clustering with neighborhood information
image segmentation clustering fuzzy c-means
2009/1/6
In this paper, an improved fuzzy c-means (IFCM) clustering algorithm for image segmentation is presented. The originality of this algorithm is based on the fact that the conventional FCM-based algorit...
Depth Image Segmentation for Improved Virtual View Image Quality in 3-DTV
Depth Image Segmentation Improved Virtual View Image Quality
2007/12/31
A rate-based switch fabric called smoothed buffer crossbar has been proposed in our recent work. It can provide 100% rate-guaranteed service with only a two-cell buffer at each
crosspoint, and can al...
Color Image Segmentation Using Density-Based Clustering
Color Image Segmentation Density-Based Clustering
2003/12/31
Color image segmentation is an important but still open problem in image processing. In this paper, we propose a
method for this problem by integrating the spatial connectivity and color feature of t...