搜索资源列表
LS-SVMlab1.5
- 支持向量机，用于图像分类分割，目标检测识别,人工智能信息处理-support vector machine has been widely used in classification and object identification.
max_relation
- 其基本原理是使图像中目标和背景的相关总量最大的阈值为最优分割阈值-This paper combines one dimension Maximal Correlative Criterion and two dimension Maximal Correlative Criterion to estimate the neuron parameters
T-Snake-model-for-image-segmentation
- ，本文提出了一种基于遗传算法的双T—Snake模型图像分割方法，它将双T—Snake模型解作为遗传算法的搜 索空间，这既继承了T—Snake模型的拓扑改变能力，又加快了遗传算法的收敛速度。由于它利用遗传算法的全局优 化性能，克服了Snake轮廓局部极小化的缺陷，从而可得到对目标的更精确的分割。将其应用于左心室MRI图像 的分割，取得了较好的效果。-This paper presents a genetic algorithm based on dual-T-Snake model f
seg
- 选取读入一份彩色图像，在运行Untitled.m程序时先用鼠标交互的选取一个颜色区域作为你要与其他色彩分割的目标，进行分割，鼠标选取好后，按ENTER健后出现分割节后。-Select a color image reading, the program is running Untitled.m interact with the mouse as you select a colored area to target with other color segmentation, segment
GA3threshold
- 针对Bmp图片，采用多阈值最大化图像的信息熵为目标，采用多目标遗传算法（源码全）对图像进行多阈值变换，实现对图像的多阈值分割。（VC6.0实现）-Bmp images using multi-threshold image information entropy maximization as the goal, the use of multi-objective genetic algorithm (source full) image multi-threshold transform,
GA1threshold
- 针对Bmp图片，根据以最大图像的信息熵为目标，采用遗传算法（源码全）对图像进行单阈值变换，实现对图像的阈值分割。（VC6.0实现）-Bmp picture, according to the target maximum image information entropy, genetic algorithm (source all) single threshold transform image threshold segmentation of images. (VC6.0 achieve
Effectual-Method-for-Crowd-Counting
- 对固定镜头下视频序列中运动人体的检测和跟踪方法进行研究，利用灰度图像差分双向投影信息检测人体目标，提出一种基于统 计运动区域几何特征固定比例的分割算法，使用最近邻匹配方法对人体进行跟踪。-Video sequences in the detection and tracking of the movement of the human body to study under the fixed lens, bi-directional projector information using
CharacterRecognitionLibsvm1
- 利用支持向量机对图像进行分割，标注背景和目标图像训练点，再进行SVM的训练。-SVM for image segmentation, image annotation background and objectives of the training points, then SVM training.
JRACS
- 基于分割的目标跟踪算法，效果很好，有注释，-Target tracking algorithm based on segmentation, the effect is very good, have a comment,