1) spying bore image
窥膛图像
1.
Which can improve the observation effect on the spying bore image and diminish the target image ambiguity casued by background and noise.
为了提高窥膛图像的观测效果 ,减小背景和噪声对目标图像的模糊度 ,根据图像特点提出了一种基于人眼视觉特性的图像增强新方法。
3) endoscopic image
内窥镜图像
1.
Result By using 800 general clinical endoscopic images, the precisions and recalls under various conditions, such as single feature, multi-feature fusion and relevance feedback.
结果通过对 80 0幅标准临床内窥镜图像构成的数据库进行实验研究 ,分别给出了基于单一特征、特征融合以及相关反馈图像检索的查准率和查全率 ,并进行了比较分析。
2.
This paper presents two feature fusion algorithms of medical image retrieval about endoscopic image based on FCM as follow:first,using color correlogram combining with color texture;second,using color correlogram combining with color histogram.
针对医学内窥镜图像,提出两种基于模糊C-均值聚类(FCM)的特征融合算法:融合颜色相关图和图像纹理特征算法以及融合颜色直方图和颜色相关图算法。
3.
The method use the Kernel principal component analysis(KPCA) to extract the high order relation nonlinear feature of image pixels, and selects optimal Support Vector Machines(SVM) to perform the endoscopic image recognition.
基于核学习算法的基本原理,给出了一种利用核主分量分析(KPCA)提取图像像素间高阶相关的非线性特征并与优化的支持向量机(SVM)相结合来进行内窥镜图像的识别方法。
4) gastroscope images
胃窥镜图像
1.
In allusion to the rich color information of gastroscope images,make use of neighborhood color moment histogram and the primitive histogram after quantization and clustering in HSV color space,and then use PCA algorithm to reduce the dimensions to retrieve,at last use relevance feedback to make multi-retrieve.
针对彩色胃窥镜图像丰富的颜色信息,在HSV颜色空间量化聚类后,利用多邻域颜色矩直方图和原始的量化聚类直方图的方法,再运用PCA算法降维,进行检索,最后利用相关反馈技术进行多次检索。
6) furnace flame image
炉膛火焰图像
1.
One of the key technologies used to monitor the furnace flame combustion condition is the classification and recognition of the furnace flame images.
炉膛火焰燃烧状态监测的关键技术之一是炉膛火焰图像的分类和识别。
补充资料：高光谱分辨率遥感图像及图像光谱信息提取
高光谱分辨率遥感图像及图像光谱信息提取
高光谱分辨率遥感图像及图像光谱信息提取 郑兰芬供稿
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条