搜索资源列表
Yanowitz_Bruckstein.rar
- 利用Yanowitz_Bruckstein算法对图像进行分割，可以有效的去除红外图像的伪影，适用于红外图像分割和常用图像分割,Yanowitz_Bruckstein algorithm using image segmentation, can effectively remove the infrared image of the artifact for infrared image segmentation and image segmentation used
infraredimage.rar
- 针对红外图像序列运动目标检测和识别,针对复杂动态场景下的红外目标检测问题，提出了一种基于交叉熵的过渡区提取的红外运动目标检测方法,保证是原创，自己辛苦的作品）,infrared image detection
zengqiang
- 基于模糊最大熵的红外图像增强算法，对于红外图像效果很好-Fuzzy maximum entropy-based infrared image enhancement algorithm for infrared image works well
infraredimagedenoise
- 红外图像自适应降噪处理的的论文。该方法首先将图像分解为R，G，B颜色分量图像，对每幅图像进行小波变换。根据变换后的不同细节子图的小波系数在区域及方向上具有的不同相关性，用不同的窗口对不同细节图像系数的方差进行估计，然后对小波系数进行一种改进的阈值处理，得到结果图像。-An adaptive wavelet denoising algorithm is presented for noise rem oval of pseudo-color infrared images．
levelset
- 基于快速Level Set的红外图像分割方法 作者： 梁 敏,张 科,张文峦-Fast Level Set Based on the infrared image segmentation method Author: Liang Ming, Zhang Ke, Zhang Luan
infraredimage
- 基于红外图像特性的动态阈值分割研究 作者：付小宁，殷世民 ，吴志鹏 ，刘上乾-Characteristics of infrared image based on the dynamic threshold segmentation study Author: Fu Xiao-ning，YIN Shi-min,W U Zhi-peng，LIU Shang-qian
infraredimageprocessing
- 一种自适应红外图像边缘增强算法，能对不同环境下的目标域背景进行边缘增强-An adaptive edge enhancement algorithm for infrared image, can target domain under different circumstances, the background edge enhancement
fenge
- 一篇基于红外图像的图像分割论文，适合处理红外图像的人学习-An infrared image based on image segmentation papers, suitable for handling infrared images to learn
infusimage
- 红外图像的亚像素边缘检测，检测边缘，用于图像配准。-Infrared image of the sub-pixel edge detection, edge detection for image registration.
waveletdecomposition
- 对红外图像进行增强，采用多小波分解进行分层增强-Infrared image enhancement, wavelet decomposition of multi-layered enhancement
two-dimensional-discrete-wavelet
- 本法采用二维离散正交小波对图像增强，实现红外图像的对比度的有效增强-Law on the two-dimensional discrete wavelet image enhancement, to achieve an effective infrared image contrast enhancement
SPIHT
- 通过多分辨率分解，实现红外图像的增强，改善图像的对比度-Through a multi-resolution decomposition, to achieve enhanced infrared image
DFT
- 基于红外的图像分割，描述了红外图像的特点及一些分割所注意-Infrared image segmentation based on describing the characteristics of the infrared images and some division of attention
Techniques-for-infrad-image-matching
- 系统的论述了红外图像的匹配技术的发展及各种方法-Systematic exposition of the infrared image matching technology and a variety of methods
infrared-image-match
- 红外图像匹配中外文献资料，包括IEEE文献等-Infrared image matching and foreign literature, including literature and other IEEE
Vega
- vc环境下利用Vega软件生产红外图像，对目标进行仿真-vc Vega software production environment using infrared images of the target simulation
针对红外图像的增强
- 针对红外图像的增强，包括打开raw的原图，线性拉伸，和将16位压缩至8位等过程-For infrared image enhancement, including open raw artwork, linear stretching and compression will be 16 to 8 and other processes
红外图像处理
- 主要用于红外图像的特征提取，其中提取长宽比，复杂度，紧凑度，均值比，不变矩等七种红外图像的特征，可很好的为以后的识别做准备
基于小波变换的图像融合源代码
- 利用小波变换融合红外图像与可见光图像，提高图像质量(Infrared image and visible light image are fused by wavelet transform to improve image quality)
1红外图像
- 基于C#的红外图像生成，可直接操作，小白也能(Infrared image generation based on C#)