搜索资源列表
mySnake-2
- 基于动态轮廓模型的虹膜定位.在数字图像中虹膜位置的有效定位是虹膜识别的关键问题。用一种基于主动轮廓线模型的方法定位虹膜的位置,先用灰度投影法检测出瞳孔内的一点作为瞳孔的伪圆心,该圆心只要能落在瞳孔内部即可。然后以该伪圆心为中心,在其周围等角度间隔地取N个点作为初始的snake基准点,按照snake 的运行机制不断进化,直到虹膜的内边界为止。最后,计算进化后的snake形心和snake上的控制点与该形心的距离,取其平均值作为瞳孔的半径,动态轮廓模型的形心作为瞳孔的圆心,即可准确定位出虹膜内边界的位
Mag_Color_Snake
- 使用双线性内插或二次曲面内插放大图像,然后使用彩色自蛇模型去除边缘模糊和锯齿效应-Using bilinear interpolation or quadratic surface interpolation to enlarge the image, then use the color removed from the snake model and the sawtooth effect of edge blur
51847167snake_gvf_demo
- GVF SNKE 模型matlab源代码-gvf snake
Mag_interpolation_Snake
- 本程序使用双线性内插法进行彩色图像的扩散,使用自蛇模型-This program uses bilinear interpolation for the proliferation of color images, the use of self-snake model
snake_c
- opencv实现的snake蛇模型,经过测试,简单实用-opencv realized snake snake model, tested, simple and practical
Matlab-snakes-demo
- 主动轮廓模型,即snake算法的demo-active contour models, snake algorithm demo
Active-Contours-Without-Edges
- 无初始边界的蛇模型算法,可以用于影像的边缘提取-No initial boundary snake model algorithm that can be used to extract the edge of the image
BuildingActiveModels_version3
- BuildingActiveModels_version3 动态模型snake 边缘分割检测-BuildingActiveModels_version3 The dynamic model of the snake edge detection segmentation
sdemo
- 基于轮廓的图像分割参数模型(snake)源码,适合想学图像处理并对图像分割感兴趣的-TX-Image segementation based on contour mode:parameter model. it is good for those students who are interesting in image processing and image segementation
growcut
- 改进Grow-Cut和蛇模型的图像分割算法-Grow-Cut and snake improved model image segmentation algorithm
7899327improve_LBF
- 基于梯度的图像分割,可以精准定位,效果较一般的阈值,速度较快(Gradient based image segmentation can be precise positioning, the effect is more than the general threshold, faster)
EPGVF_Snake code
- 一种基于GVF的改进模型代码,改进了传统snake的部分缺陷(An improved code based on the GVF model)