Search - matlab image

Search - matlab image - List

[Other] 畸变矫正 DL : 1: 图像畸变矫正的matlab代码实现，可直接运行(Image distortion correction matlab code to achieve, can be directly run)
Date : Size : 58kb User : dwr_0911
[Other] _export_fig DL : 0: 用于matlab导出高精度的图像，可满足各个背景需求，导出图像分辨率高。(For matlab export high-precision images, can meet the needs of each background, export image resolution is high.)
Date : Size : 11.24mb User : xiaoyeyu
[Other] pipei DL : 0: 实现图像的识别,用于匹配两张不同图相同的地方(realize image distinction)
Date : Size : 1kb User : XWY
[Other] 作业3 DL : 0: 使用matlab自带的rice图像进行边缘检测(using the rice image from matlab platform as a sample image.detect deges of this image by using canny dege detection method and segment tihs image using watershed method)
Date : Size : 485kb User : mrsun
[Windows Develop] 数字图像处理双边滤波器编程 DL : 0: Matlab编程关于数字图像处理双边滤波器(Matlab programming on digital image processing bilateral filter)
Date : Size : 74kb User : qqdas
[Other] SAR成像算法 DL : 0: 关于合成孔径雷达的三种成像算法，开发环境是matlab，适合新手学习使用。(Three imaging algorithms for synthetic aperture radar, the development environment is matlab, suitable for novices to learn to use.)
Date : Size : 5kb User : aAbner
[Other] 水波优化算法用于图像匹配matlab源码 DL : 1: 水波优化算法解决图像匹配问题MATLAB源码(Water wave optimization algorithm to solve the image matching problem MATLAB source code)
Date : Size : 2kb User : 叫我小宝
[Other] guided-filter-code-v1 DL : 0: 引导滤波，能够实现，图像去噪，去雾，是非常使用的图像处理算法，运算速度快(Guide filtering, can achieve, image denoising, to fog)
Date : Size : 3.35mb User : 安保部
[Other] 灰度差分统计GLDS DL : 0: 得到原始图像的灰度差分图像，灰度差分直方图。(The gray difference image of the original image is obtained, and the gray difference histogram is obtained)
Date : Size : 4kb User : 李易峰
[Other] ArcGIS 10 地理信息系统教程从初学到精通 DL : 0: 精通Matlab数字图像处理与识别张铮倪红霞苑春苗等，图形处理等可以用matlab实现(Proficient in Matlab digital image processing and recognition)
Date : Size : 320kb User : 奋斗cj
[Other] ip_kss_dhodksdhfrksksi tlqkfsjaemfdk DL : 0: my image processing study matlab code
Date : Size : 1kb User : ASAP_KSS
[Other] 图像处理 DL : 0: 一个图像处理GUI界面，实现简单的图像处理(An image processing GUI interface, to achieve a simple image processing)
Date : Size : 218kb User : li19930719
[Other] mil_1_2_1 (1) DL : 0: computer vision in image processing
Date : Size : 1.02mb User : emosemo
[Other] 03023423image-process DL : 0: 基本的图像处理，基于MATLAB的基本图像处理(photo shopBasic image processing, basic image processing based on MATLAB)
Date : Size : 418kb User : 坨坨
[Other] Hough DL : 0: 冈萨雷斯数字图像处理Hough变换检测直线源码(The Hough transform in the digital image processing course written by Gonzales is used to detect the linear source code)
Date : Size : 4kb User : jm2017
[Other] segsnrc DL : 0: 用于图像分析衡量标准的峰值信噪比，有例子和源代码公式！(the peak signal to noise ratio for the image analysis measurement standard, with examples and source code formula!)
Date : Size : 924kb User : 当上海贼王
[Other] 数字图像处理与机器学习基础 DL : 0: 数字图像处理，常用的图像处理方法介绍以及应用举例(Digital image processing, introduction of common image processing methods and application examples)
Date : Size : 19.81mb User : 云烟123
[Other] gti_1.2 DL : 0: digital image inpainting with matlab source
Date : Size : 90kb User : hsyn
[Other] patch-inpainting-master DL : 0: digital image inpainting matlab source code
Date : Size : 1.75mb User : hsyn
[Other] 谷物颗粒计数 DL : 1: 谷物作为主要粮食和饲料作物,在农业生产中占有重要地位。提高谷物产量和质量的主要方法是选育出优质品种,而在选育品种过程中,对种子的计数是不可缺少的内容。目前,种子的计数方法通常采用人工计数,或半自动的光电计数器,很显然传统的计数方法存在着效率低、准确性不高等缺点。笔者利用计算机图像识别和处理技术实现考种过程中的计数,为谷物粒群的识别、精选、分级等的进一步研究奠定必要的理论与实践基础,并为育种工作提供一种高效、快捷的谷物计数新技术用Matlab实现这种方法，既能分步对谷物颗粒图像预处理算法进行仿真测试，又可以很直接地得到谷物颗粒个数的结果。实验证明，用Matlab实现的处理结果比较理想，满足识别的应用性。本文介绍用matlab实现了对谷物颗粒图像的灰度化处理、去除噪声处理、灰度图像的二值化、谷物颗粒的数值计算等。并选取较好的处理步骤和算法参数解决谷物颗粒图像预处理的问题。(The grain plays an important role in the production of agriculture as main food supplyment of mankind and animals. The main way to improve grain yield and quality is to breed high-quality varieties.However, in the process of breeding varieties, counting seeds is an essential element.Nowadays, the counting of seeds is usually done manually,or semi-automatic photoelectric counter. It is obvious that the traditional counting method has the disadvantages of low efficiency and low accuracy. The use of computer image recognition and processing technology to achieve the counting test in the process of selection for identification, grain group, lay the theoretical and practical foundation for further research of the necessary classification, and for breeding work provides an efficient, fast new grain counting technique)
Date : Size : 99kb User : 王世神龙

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