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基于形态学的权重自适应图像去噪
- 图像去燥，效果很好的！适应于图像处理的前期形态学处理。(The image is dryness, the effect is very good! It is adapted to the early morphological processing of image processing.)
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- 形态学处理图像源码，包括膨胀、腐蚀、开闭运算等(Morphological processing of image source code, including expansion, corrosion, opening and closing operations, etc.)
代码
- 形态学基本运算，如腐蚀、膨胀、形态学梯度图像计算等(Morphological basic operations, such as corrosion, expansion, morphological gradient image calculation, etc.)
图像分割，形态蛇学
- 用于图像分割和跟踪的形态蛇学，用于图像引导对的曲线或曲面进化(Morphological snakes for image segmentation and tracking)
morphology.tar
- Morphological transformations are some simple operations based on the image shape. It is normally performed on binary images. It needs two inputs, one is our original image, second one is called structuring element or kernel which decides the nature
形态学滤波
- 生理信号处理，数学形态学滤波，但需要自己调整参数(Physiological signal processing, mathematical morphological filtering, but need to adjust its own parameters)
FRFCM
- Significantly Fast and Robust Fuzzy C-Means Clustering Algorithm Based on Morphological Reconstruction and Membership Filtering
Hu不变矩
- 提取文件夹下所有图像的形态特征，并将特征值存放于excel表(Extract the morphological features of all images under the folder and store the feature values in the excel table)
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- 基于稀疏分解的形态学成分分析，在分解图像的同时完成了去噪任务。(Based on the morphological component analysis of sparse decomposition, the image is decomposed and the denoising task is completed at the same time.)
基于形态学滤波去噪matlab代码
- 基于形态学滤波去噪，可以运行的程序。。。。(morphological filters)
多车道复杂环境下前方车辆检测算法_孔栋
- 基于前方车辆与本车存在安全距离，利用自适应阈值法确定图像灰度分割阈值，形态学处理，利用最小外接矩形框选候选车辆目标，集合车底阴影几何位置等特征验证车辆假设。(Based on the safe distance between the front vehicle and the vehicle, the adaptive threshold method is used to determine the threshold of image gray level segmentation, mo
python 裂缝识别
- 这是一个使用Python和PyQt5开发的一个计算机视觉辅助裂缝标注工具，标注工具先用边缘检测和形态学方法预识别裂缝，然后人工对结果进行标涂或擦除。除了此方法，工具还有其他多种方法，(This is a computer vision aided crack marking tool developed by Python and pyqt5. The tool first uses edge detection and morphological methods to pre identify
MATLAB缺陷检测系统
- MATLAB缺陷检测系统 该课题为基于形态学的缺陷检测，素材采用的是光伏板缺陷。通过灰度，二值化，边缘检测，形态学，开闭运算，去除小面积干扰等方法，判断出缺陷所在，定位，并且框出，且计算出各个块面积。配有一个人机交互界面，把缺陷个数，面积等分别显示到GUI界面上。(Matlab defect detection system This topic is based on the morphological defect detection, the material is photovolt
干涉条纹
- 使用matlab识别干涉条纹。通过形态学处理，识别干涉条纹数，并计算出条纹间距。内包含交互界面。(The interference fringes are identified by matlab. Through morphological processing, the number of interference fringes is identified and the fringe spacing is calculated. It contains an interactive in
基于MATLAB的瑕疵检测系统
- 基于MATLAB的工业瑕疵缺陷检测，采用工业板图像作为素材。利用灰度化，二值化，边缘提取，形态学运算等方法，检测并标出出瑕疵所在位置，计算出各个块面积。设计了一个UI界面，显示瑕疵个数和面积等参数。(Industrial defect detection based on MATLAB, using industrial plate image as material. Using gray, binarization, edge extraction, morphological operat
MATLAB雾霾交通标志shibie[GUI]
- 该课题为基于MATLAB bp神经网络的雾霾天气下交通标志的识别系统。主要分两步骤，一是进行图像去雾，采用暗通道的方法获取光透射率，从而去除雾霾。得到清晰的图片后，利用颜色的方法进行交通标志的定位，众所周知，交通标志基本是红，蓝，黄三色组成，根据RGB不同组合可以定位到不同颜色，因为存在误差，所以需要借助形态学相关知识，将得到的误干扰面积去除，从而实现精准定位。定位后，在原图基础上进行分割出彩色图标，利用bp神经网络方法，进行训练，识别，从而得出结果。本设计配有一个GUI可视化界面，操作简单容易