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camerainterface
- 1394 网口 等通信接口的优劣比较，尤其在图像处理的图像信息传输中有很大参考作用-1394 network communication interface, etc. I compare the advantages and disadvantages, especially in image processing of image information transmission in a large reference
imregister
- In computer vision, sets of data acquired by sampling the same scene or object at different times, or from different perspectives, will be in different coordinate systems. Image registration is the process of transforming the different sets of data
JPEGanJPEG2000final
- The purpose of this study is to compare between the to methods which is JPEG and JPEG2000 that are using in lossless image compression .
Image_matching
- 为了解决光谱恢复对图像匹配高精度的问题, 提出了一种高精度图像匹配算法———利用光流确定图像的运动场对图像进行匹配。该算法克服了传统的基于灰度匹配方法受图像插值精度影响的缺陷以及运算速度和精度的局限性。与基于MAD 块匹配算法和归一化相关系数块匹配算法进行比较, 该算法实现了图像序列高精度匹配, 而且硬件实现简单, 计算复杂度较低。-To address the spectrum of the resumption of high-precision image matching problem
Labview_serial_port
- The P S N R is most commonly used as a measure of quality of reconstruction of lossy compression codec (e.g., for image compression). The signal in this case is the original data, and the noise is the error introduced by compression. When comparing c
Oscilloscope
- The PSNR is most commonly used as a measure of quality of reconstruction of lossy compression codecs (e.g., for image compression). The signal in this case is the original data, and the noise is the error introduced by compression. When comparing com
singnal
- The PSNR is most commonly used as a measure of quality of reconstruction of lossy compression codecs (e.g., for image compression). The signal in this case is the original data, and the noise is the error introduced by compression. When comparing com
FundamentalElectronics
- The PSNR is most commonly used as a measure of quality of reconstruction of lossy compression codecs (e.g., for image compression). The signal in this case is the original data, and the noise is the error introduced by compression. When comparing com
wavelets
- an introduction to wavelets -Wavelets are mathematical functions that cut up data into di® erent frequency components, and then study each component with a resolution matched to its scale. They have advantages over traditional Fourier method
v74-125
- Performance of Compound Enhancement Algorithms on Dental Radiograph Images Abstract—The purpose of this research is to compare the original intra-oral digital dental radiograph images with images that are enhanced using a combination of image
DargahiaDeshpande
- Cost effective digital cameras use a single-image sensor, applying alternating patterns of red, green, and blue color filters to each pixel location. The problem of reconstructing a full three-color representation of color images by estimating the mi
image
- 本文在众多图像分割方法中选择了研究比较早的边缘检测方法来实现图像的分割，并且比较了各种边缘检测算子的检测效果。-This text choose EdgeDetection method that is a study early for image segmentation to carry out Detection image, and compare every kind of edge detection technique.
kmeans_report
- 数据挖掘kmeans图像聚类实验报告 用 VC 或 Java 实现 k-means 聚类算法， 分别以迭代次数及分配不再发生变化为算法终止条件，用图片（自己选择）作为数据集，比较运行时间（画出时间与像素点的关系曲线图，因此须用多幅像素个数不同的图片进行实验） 提交实验报告与源代码。 -Data mining to achieve the k-means clustering algorithm the kmeans image clustering experiment report wit
Energy-Efficient-Cooperative-Image-Transmission-(
- We compare the energy efficiency of some transmission schemes in wireless sensor networks. By constraining the system to end-to-end throughput requirements, we assume that the nodes in multi-hop and cooperative schemes operate at a spectral e
image-feature
- 把 SIFT 算法应用在牙齿模型图像上，检测牙齿图像的特征点。 方法：首先采用高斯差分算子 DoG 搜索整个图 像的尺度和位置信息，从而确定具有代表性尺度、方向的特征点。基于其稳定性选择关键点，得到一个详细的模型以确定每个候 选点的合适位置和范围。基于局部图像梯度方向信息将方向矢量和关键点对应起来。在选定范围内的每个关键点周边区域测量 局部图像梯度，并采用 KNN 算法进行特征匹配。 结果：通过大量的实验和与其他特征提取方法相比较，该方法能有效地检测牙 齿模型图像的特征，并为牙齿
pipeijishu[1]
- 匹配特征、相似性程度以及匹配策略是图像匹配的三个技术难点。文章深入讨论了这三个方面所涉及的各种方法并评估和比较了他们的优缺点，指出了存在的问题。-Matching features, as well as the degree of similarity matching strategy is three image matching technical difficulties. Depth article discusses the various methods involved in
gongsheng
- 求图像的二维直方图，产生共生矩阵，可以比较像素点分布的是否均匀。-Two dimensional histogram for image, the co-occurrence matrix, can compare the pixel distribution is uniform.
kurtosises
- Kurtosis calculate of blurred and restored image and compare them
Learning-to-Compare-Image-Patches-via-Convolution
- Learning to Compare Image Patches via Convolutional Neural Networks
Image-quality-evaluation-method
- 图像评价方法的总结，其中包括相应的代码说明，图像测试与结果，并比较了算法的适用性和优缺点-Summary image uation method, including the corresponding code descr iption, image testing and results, and the applicability of the algorithm and compare the advantages and disadvantages