搜索资源列表
SVM-MATLAB
- 本文是一篇名为“基于SVM的石油勘探算法研究”的硕士论文，文中应用MATLAB进行算法实现，给出了详细的设计思路，各种不同方法的图像对比，区县调整，是一片相当不错的文章。-This is the one entitled "SVM Based Algorithm for oil exploration," the master's thesis, text MATLAB algorithm is given a detailed design ideas, diffe
ImageConTrast
- 这是一种图像对比度增强---模糊对比度修正 的东东，不错-Image Contrast Enhancement -- fuzzy contrast amended Eastern, yes
1
- 神经网络的人脸识别 有错误 不知道怎么改-this issue is the major content of image preprocessing, mainly from the camera to obtain images Face then, in order to improve the recognition and positioning accuracy. The module consists mainly of light compensation, Grayhound,
MemoirematchingHausdorff
- In this study, approaches of image enhancement, edge extraction, and line-based image matching for remote sensing images are proposed. The image enhancement includes noise reduction and contrast enhancement. We apply wavelet shrinkage technique
amethodforimagefusion
- 文中的方法是把图像分块，小波分解得到低频分量、高频分量，然后计算每一块的对比度，把图像块划分为清晰块、模糊块，把清晰块和模糊块相邻的区域定义为边界区域，融合时，直接选取清晰块作为融合后的相应块，对于边界区域，在小波分解的基础上采用基于对比度的像素选取的方法进行处理。-Paper, the method is to image segmentation, wavelet decomposition are low frequency, high frequency components, then
GUImatlab
- 基于GUI的图像处理软件平台的开发 五种常用的边缘检测、灰度直方图的显示、灰度直方图的均衡化、对比度自适应直方图的均衡化、图片的二值化以及彩色图片的灰度化-GUI-based image processing software platform of five commonly used edge detection, histogram display, gray histogram equalization, adaptive histogram equalization contrast,
CLAHE
- CLAHE: contrast limited adaptive histogram equalization is one of the most famous algorithm in image enhancement
ussrcepc_proposal
- Ultrasound Speckle Reduction Using Coded Excitation and Pulse Compression Ultrasound images are riddled with system dependent imperfections called speckle (multiplicative noise). In ultrasonic imaging, detection of small lesions could be difficu
Perceived-image-contrast-and-observer-preference-
- Perceived image contrast and observer preference II. Empirical modeling of perceived image
Active-contour-3-d-image
- 对具高噪声和低对比度三维图像的识别和分割算法进行了研究。基于活动轮廓模型,用Gabor变换提取图像的纹理特征,根据统计学信息假设,通过偏微分方程水平集和窄带方法求解,获得较基本活动轮廓的算法分割更光滑精确的物体轮廓-To a high noise and low contrast 3 d image recognition and segmentation algorithm was studied. Based on the active contour model, with Gabor t
FANN-2.2.0-Source.zip
- this issue is the major content of image preprocessing, mainly from the camera to obtain images Face then, in order to improve the recognition and positioning accuracy. The module consists mainly of light compensation, Grayhound, Gaussian smoothing,
LoFiImgGUIv2
- Black and white Image contrast enhancement.
zftjh
- 直方图均衡：增强图像的对比度，使暗的部分变亮，亮的的部分变暗，对光照强时具有较强的鲁棒性-Histogram equalization: to enhance image contrast, the dark parts brighter and dark parts brighter on light intensity, have a robust
test1
- 扫描图像的对比度和RGB，为图像处理提供基础知识-Scanned image contrast and RGB, the image processing to provide basic knowledge
tuxiang-lv-bo
- 主要讨论获得图片后如何提取其边界信息,首先利用图像灰度均匀化解决了对比度不清晰的问题,然后利用高斯滤波法对图片进行滤波去噪,进而利用Canny算法实现边缘检测提取边界,该方法与Matlab自带的求边界方法有明显的提高,为利用Matlab程序求图像分形维数提供了更精确的前提. 更多还原 -Mainly discuss how to get the picture after extracting its boundary information, the first use of the im
An-Image-Defogging-Algorithm
- 提出了一种基于雾气遮罩减除的图像去雾算 法。首先对降质图像平滑滤波以估计其亮度分量，对亮度分量求均值得到均匀分布的雾气遮罩，并结合退 化图像获取与场景深度信息相关的雾气遮罩。在对数域中从降质图像中减除获得的雾气遮罩，即可得到 场景的反射图像。对反射图像进行自适应的对比度拉伸，可以得到最终的去雾结果。-Proposed algorithm based on the image to fog mist mask subtraction. First, the degraded im
Fuzzy-contrast-enhancement
- 用于图像模糊增强的资料，一篇经典的图像模糊增强文章。-Enhanced data for image blur, a classic image fuzzy enhancement article
contrast-enhancement
- 利用高斯混合模型实现图像对比度增强的一篇很好的文章-Automatic Image Equalization and Contrast Enhancement Using Gaussian Mixture Modelling
TUXIANG
- 本文以连续太赫兹波成像机理为理论基础,分别从去除图像条纹!图像对比度增强及图像锐化三个角度研究了连续太赫兹波图像的增强算法"主要研究内容及成果-ON划词翻译ON实时翻译 In this paper, continuous wave imaging mechanism as the theory basis, separately from the removal of image fringe! Three angle image contrast enhancement and im
Channel-Division-drak-image-enhancement
- A content-aware algorithm that enhances dark images, sharpens edges, reveals details in textured regions, and preserves the smoothness of flat regions is proposed. The algorithm produces an ad hoc transformation for each image, adapting the mapping f