搜索资源列表
BP
- 利用BP神经网络进行图像分割。主要适用于RGB信息丰富的图像。以RGB为BP网络的三个输入，与对应的灰度图对网络进行训练。-The use of BP neural network image segmentation. RGB is mainly applied to information-rich images. BP network to RGB for the three inputs, with grayscale corresponds to the network trainin
image_enhance
- 一种基于形态学的图像增强方法。基于模糊逻辑将二值形态学分级算子推广到灰度图象，研究灰度形态学分级算子。-Morphology-based methods of image enhancement. Will be based on the fuzzy logic classification binary morphological operator to the gray-scale images, gray-scale morphological study operator classif
fliter
- 基于模糊逻辑的一个过滤器，能够介绍高斯噪声和椒盐噪声等-A fuzzy logic based filter that can introduce noise, Gaussian noise and salt and pepper
G_ero
- 形态学腐蚀，基于模糊逻辑的形态学灰度算法，用于对图像进行腐蚀运算，可选用多个模糊逻辑算子。参数可调。-Corrosion morphology, grayscale morphology based on fuzzy logic algorithm for computing the image to corrosion, may choose multiple fuzzy logic operators. Adjustable parameters.
ImageEnhance1.2
- 基于模糊逻辑的图像增强算法， 处理各类灰度图像有较好的表现-Fuzzy logic based image enhancement algorithms to deal with all kinds of gray-scale image has a better performance
dhaval
- fuzzy logic airconditioner controller
1
- 基于模糊逻辑的图像型火灾探测的算法。非常好的文献。外国人写的，IEEE收录。-Images based on fuzzy logic-based fire detection algorithms. Very good literature. Foreigner, IEEE included.
OJ1211010001486B9EbH
- 基于局部能量与模糊逻辑的红外偏振图像融合，该文与小波包，支持向量机等融合算法进行对比分析，说明该文算法的优势。-Infrared polarization image fusion based on local energy and fuzzy logic, this paper, wavelet packet, support vector machines and other fusion algorithm comparison analysis to illustrate the adv
simplejson-3.6.3.tar
- PROYECTO DE UNFUZZY THE PROJECT IS A IMPLEMEMTATION OF LOGIC FUZZY
New-Compressed-(zipped)-Folder
- this a function of mean filter with fuzzy logic and is perform of one input one output-this is a function of mean filter with fuzzy logic and is perform of one input one output
thmogenr
- resonance imaging (MRI) data and estimation of intensity inhomogeneities using fuzzy logic. MRI intensity inhomogeneities can be attributed to imperfections in the radio-frequency coils or to problems associated with the acquisition sequences