mvg

OTSU Gray-level image segmentation using Otsu s method. Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection Method from Gray-Level Histograms, IEEE Trans. Syst. Man Cybern. 9:62-66 1979). Thresholds are computed to maximize a separability criterion of the resultant classes in gray levels. OTSU(I) is equivalent to OTSU(I,2). By default, n=2 and the corresponding Iseg is therefore a binary image. The pixel values for Iseg are [0 1] if n=2, [0 0.5 1] if n=3, [0 0.333 0.666 1] if n=4, ... [Iseg,sep] = OTSU(I,n) returns the value (sep) of the separability criterion within the range [0 1]. Zero is obtained only with images having less than n gray level, whereas one (optimal value) is obtained only with n-valued images.

ECG compilation for R-R detection. don t remember anything else from this file

CS重构算法OMP算法。matlab源代码，。(CS reconstruction algorithm OMP)

Algortihm_difuso_for_scilab_example_with_turbine_amd power_wind

this is for lmi lmi problems

The statements below guide us to write the code for the transmission of sensed data to a sink node using cognitive radios in multiple spectrum bands. In doing this we are trying to find the most appropriate modulation scheme using MATLAB simulation.

Reservoir Optimization with PSO

數位影像處理作業 noise filter (Digital Image Process Noise filter)

说明：  基于模板匹配的车牌自动识别系统的设计源代码(Based on template matching license plate recognition system design source code)

Programmi che descrivono l utilizzo delle CNN