recall_precision

基于物体灰度图像的物体三维形状恢复，修改图形路径和光源方向即可(Based on the three-dimensional shape of the object to restore the object grayscale image, modify the graphics path and direction of the light source can be)

时空域下的信息隐藏技术，LSB ,MSB以及二值图像中的信息隐藏(When the airspace under the information hiding technology, LSB, MSB, as well as binary images of Information Hiding)

灰度图像二值化比较经典的算法，包括otsu方法和局部阈值法。(Gray image binarization more classic algorithms, including methods and local otsu threshold.)

MATLAB工具sift实现图像拼接，上下拼接(MATLAB tool sift image stitching, stitching up and down)

本程序实现Bilateral滤波，以实现边缘保留的平滑处理，同时可用于灰度及彩色图像。(Bilateral filtering realize this procedure in order to achieve a smooth edge to retain the handle at the same time can be used for gray and color images.)

图像处理fuzzy C-means算法的源代码(Image processing fuzzy C-means algorithm source code)

采用四元组进行图像融合质量评价的matlab程序，包括原文paper(Four-tuple image fusion matlab quality evaluation procedures, including the original paper)

基于人类视觉系统的融合图像质量评价算法， 频域CFS滤波，分区加权(The CFS filter for the frequency domain ，fused image quality evaluation algorithm based on human visual system, partition-weighted)

本书系统地介绍了图像处理与识别的基本原理、典型方法和实用技术。全书共分12章，第1章～第6章是图像处理与识别的基础内容，包括图像科学综述、MATLAB语言图像编程、图像增强、图像分割、图像特征提取和图像识别；第7章～第10章是图像处理与识别的工程实例，涵盖了医学图像处理、文字识别和自导引小车路径识别等应用实例，并结合理论算法，提供了大量MATLAB代码程序，以帮助读者掌握如何使用MATLAB语言快速进行算法的仿真、调试和估计等方法。第11章～第12章，是两个综合性较强的实例，分别是Visual C++实现的基于神经网络的文字识别系统和车牌定位系统。 本书附带的光盘给出了各个章节列举的实例的源代码，同时赠送了28个常用数字图像处理算法的Visual C++代码实现。 本书讲解深入浅出，实例程序丰富，注重理论与实践相结合。本书可作为计算机应用、自动化、图像处理与模式识别、机电一体化专业的高年级本科生或研究生的参考书，也可供从事图像处理与识别的研究人员和工程技术人员阅读参考。(This book introduces the basic principles of image processing and recognition of the typical methods and practical skills . The book is divided into 12 chapters , Chapter 1- Chapter 6 is the basis of the content of image processing and recognition , including images scientific overview , MATLAB programming language images, image enhancement, image segmentation, image feature extraction and image recognition Chapter 7- Section Chapter 10 is a project example image processing and recognition , covering the medical image processing, character recognition and self- guided trolley path recognition example , the combination of theory and algorithms, for a lot of MATLAB code procedures to help readers learn how to use MATLAB language fast simulation , debugging and estimation methods algorithm. Chapter 11- Chapter 12 , are two examples of highly integrated , namely Visual C++ implementation based on neural network character recognition system and a license plate positioning system. The book)

说明：  统一化LBP算子，作为一种有效的纹理描述算子，对图像局部纹理特征有卓越的描述能力，有很强的分类能力、较高的计算效率，并且对单调的灰度变化具有不变性。(Unified LBP operator, as an effective texture description operator, the local texture features for image description is outstanding ability, strong classification ability, higher efficiency, and to the monotonous gray scale invariant .)