GVF

针对同一场景可见光与红外图像的融合问题,提出了一种新的多尺度对比度塔图像融合方法. 该方法 利用对比度金字塔数据结构得到图像的多分辨序列,采用基于视觉特性的融合算子在图像的相应各级上融 合源图像的细节,再通过金字塔逆变换重构出最终融合图像. 这种图像处理方法具自适应性,不随各自输入 图像的灰度特性而改变,同时增强了融合图像的对比度,产生了较好的视觉处理效果.(for the same scene of visible and infrared images of integration, proposed a new multi-scale tower contrast images. The use of contrast pyramid data structure Image multiresolution sequence, based on visual characteristics of the integration operator of the image corresponding levels of integration details of the source image, through the inverse pyramid transform eventually fused images. This image processing method has adaptability without their input image with the gray characteristics change, while enhancing the integration of the contrast of the image. have a better visual effect.)

应用于车牌识别中图像增强部分的对比度增强部分！（试了，出的图像效果对比效果比较明显）(License Plate Recognition used in image enhancement part of the contrast enhancement part! (Tried out the effect of the image contrast more obvious))

改变图像灰度，增强图像中需要的信息，可利用与分割前处理(Change the image gray level, increase the information)

数字图像处理之分水岭图像分割法matlab实现源码(Digital image processing of watershed image segmentation method to achieve source matlab)

内容为《基于偏微分方程的图像处理》一书的实验教程。 (Content as a )

这是图像校正程序，matlab运行环境，是我自己编的，可能没那么完美，还要有改进的地方(This is the picture calibration procedures)

结合图像处理MATLAB的基本原理和知识，详细介绍了手指静脉预处理，图像分割，静脉纹路分割，滤波去噪，细化等相关内容。(Combined with the basic principle and knowledge of image processing, this paper introduces the finger vein pretreatment, image segmentation, vein vein segmentation, filtering and denoising, thinning and other related contents in detail.)

：近距离目标超高分辨率微波成像技术在安全检测、非破坏性控制、生物医学等领域中有着非常重要的应用 价值和广阔的应用前景。该文利用基于窄脉冲形式的超宽带时域雷达系统研究近距离目标的高分辨率ISAR成像， 给出了仿真和实测结果。利用转台旋转目标，基于超宽带脉冲源和超宽带收发天线以及高性能取样示波器，配以同 步触发脉冲和自行研发的数据采集软件，搭建了该时域雷达实验系统，提出了准确获取目标回波信息的实验条件， 和实现回波延时精确校正的误差补偿方法。并针对采样时间窗内的杂波干扰，讨论了时域后向投影算法(Back Projection，BP)与背景对消技术相结合的成像算法，实现了分辨率为 8 mm 的近距离目标的成像，准确地反映了 目标的位置、形状和大小等信息。( The high resolution imaging of near field targets are interesting for security, non-destructive control and biomedical application. In this paper, high resolution near field ISAR imaging is implemented using Ultra Wide Band (UWB) time domain radar system. Simulation and experiment are both conducted. The target is rotated by turntable. The system is built based on the UWB pulse source, UWB antennas, high performance sampling oscillograph, synchronous trigger pulse and proper motion study data acquisition software. Experiment condition and delay errors compensation method are presented to obtain accurate echo information of the target. And Back Projection (BP) combined with background cancel algorithm is discussed considering the clutter interference in time window. )

采用半隐式方案实现变分水平集图像分割方法(Active contour without edge, image segmentation)

本算法先将彩色图像变换成灰度图像，在进行基于区域生长法进行图像分割(It segmented image with region growing. Then local adaptation luminance was computed via region-based bilateral filter. It outputted low dynamic range images in conjunction with tone mapping operator. )