watershed

this code solves schrodiger

Author: Abhishek Ivaturi Summary: SUSAN Edge detection in gray scale images. MATLAB Release: R13 Required Products: Image Processing Toolbox Description: Edge detection in gray scale images using the SUSAN algorithm. (takes some time to compute, but i hope to fix it...code is rather crude right now)Does not yet include non maximal suppresion. (Author : Abhishek Ivaturi Summary : SUSAN Edge detection in gray scale images. MATL AB Release : R13 Required Products : Image Processing Toolbox Description : Edge detection in gray scale images using the SU SAN algorithm. (takes some time to compute, but i hope to fix it ... code is rather crude right now) Does not include non maximal yet suppresio n.)

使用模拟退火算法（SA）解决TSP问题的Matlab代码(use SA for solving TSP problem)

机器人仿真程序，有界面和运行系统，供初学者学习(robot simulator，just for preliminary learner to study。Thank you very much。haha )

matlab中在有限的空间显示一张大图片，也是从matlab论坛中得到的(matlab display in the limited space in a big picture, is also derived from the matlab forum)

Locally-Linear Embedding (LLE)[9] was presented at approximately the same time as Isomap. It has several advantages over Isomap, including faster optimization when implemented to take advantage of sparse matrix algorithms, and better results with many problems. LLE also begins by finding a set of the nearest neighbors of each point. It then computes a set of weights for each point that best describe the point as a linear combination of its neighbors. Finally, it uses an eigenvector-based optimization technique to find the low-dimensional embedding of points, such that each point is still described with the same linear combination of its neighbors. LLE tends to handle non-uniform sample densities poorly because there is no fixed unit to prevent the weights from drifting as various regions differ in sample densities. LLE has no internal model.

说明：  通过设计模糊PID控制器，实现对直线、圆轨迹较为精准的跟踪(By designing a fuzzy PID controller, the accurate tracking of straight and circular trajectories can be achieved.)

说明：  Simulates n random angles from a von Mises distribution, with preferred direction thetahat and concentration parameter kappa(Simulates n random angles from a von Mises distribution, with preferred direction thetahat and concentration parameter kappa.)

说明：  用MATLAB实现的计算器程序 calculator.fig calculator.m(calculator.fig calculator.m)

open cv software implementation is done