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本程序实现了K均值（HCM）算法，ISODATA算法，模糊C均值…
本程序实现了K均值(HCM)算法，ISODATA算法，模糊C均值(FCM)，模糊阈值法等对遥感影像的分割。-This program implements K means (HCM) algorithm, ISODATA algorithm, fuzzy C means (FCM), fuzzy threshold law of remote sensing image segmentation.
- 2022-07-06 14:28:51下载
- 积分：1
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利用遗传算法进行图像分割的Matlab源程序
利用遗传算法进行图像分割的源程序.基于matlab平台,适合于一维和二维分割。
- 2022-03-30 04:44:20下载
- 积分：1
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用matlab编写的一个程序， 很好啊，大家多下载一下
用matlab编写的一个程序， 很好啊，大家多下载一下-Using a program written in matlab, well ah, we look more to download
- 2022-02-03 23:08:04下载
- 积分：1
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灰度均衡：把一幅图像的灰度均衡处理，使其显得比较平滑
灰度均衡：把一幅图像的灰度均衡处理，使其显得比较平滑-Gray balance: the balance of a gray-scale image processing, it appears relatively smooth
- 2022-08-08 01:00:24下载
- 积分：1
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基于OpenCV的计算机视觉技术实现
作者:陈胜勇 刘盛 等
此书第二章程序2
基于OpenCV的计算机视觉技术实现
作者:陈胜勇 刘盛 等
此书第二章程序2-Based on the OpenCV computer vision technology realize Authors: Sheng陈胜勇procedures, such as book chapter 2
- 2022-02-16 10:12:49下载
- 积分：1
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包含一些常见的遥感图象处理的算法,有中值滤波,拉普拉斯算法等...
包含一些常见的遥感图象处理的算法,有中值滤波,拉普拉斯算法等-Contains a number of common remote sensing image processing algorithms, have median filter, Laplacian algorithm
- 2023-01-31 06:30:04下载
- 积分：1
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图像处理小程序效果还不错。建议下载者在此基础上继续开发。...
图像处理小程序效果还不错。建议下载者在此基础上继续开发。 -small image processing procedures the results were pretty good. Recommendations were downloaded on the basis of this continuing development.
- 2022-05-19 13:50:36下载
- 积分：1
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using wavelet decomposition and reconstruction, image enhancement and integratio...
利用小波分解与重构,实现图像增强和融合,可灵活选用其他小波,简单易懂,特别适合小波初学者.-using wavelet decomposition and reconstruction, image enhancement and integration, the flexibility to choose other wavelet is simple to understand and Wavelet particularly suitable for beginners.
- 2022-05-24 21:45:46下载
- 积分：1
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PCA 主成份分析法 用于人脸识别中的图像处理方法
PCA 主成份分析法 用于人脸识别中的图像处理方法-PCA face recognation
- 2022-11-08 09:30:03下载
- 积分：1
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These are the codes in "A note on two
These are the codes in "A note on two-dimensional linear discrimant analysis", Pattern Recognition Letter
In this paper, we show that the discriminant power of two-dimensional discriminant analysis is not stronger than that of LDA under the assumption that the same dimensionality is considered. In experimental parts, on one hand, we confirm the validity of our claim and show the matrix-based methods are not always better than vector-based methods in the small sample size problem on the other hand, we compare several distance measures when the feature matrices and feature vectors are adopted.
- 2022-02-25 08:19:20下载
- 积分：1
