Satadru Mukherjee
Followers: 0 Following: 0
Feeds
已回答
How can I confirm that a template image is found in the primary image using cross correlation?
Please refer this video -- Pattern Finding in Image using Cross Correlation | MATLAB Happy Learning :-)
How can I confirm that a template image is found in the primary image using cross correlation?
Please refer this video -- Pattern Finding in Image using Cross Correlation | MATLAB Happy Learning :-)
3 years 前 | 0
已回答
Similar image grouping in dataset
You can refer this video-- Color Image Segregation using ResNet-18 & K-Means Clustering Hope this will be helpful.
Similar image grouping in dataset
You can refer this video-- Color Image Segregation using ResNet-18 & K-Means Clustering Hope this will be helpful.
3 years 前 | 0
已回答
mean shift algorithm ,matlab code
Here is the complete code with explanation-- https://youtu.be/tk7802wmpS4 I hope the answer will be helpful for you . Happy M...
mean shift algorithm ,matlab code
Here is the complete code with explanation-- https://youtu.be/tk7802wmpS4 I hope the answer will be helpful for you . Happy M...
3 years 前 | 0
已回答
clustering Algorithm's Matlab codes
You can see following video for DBSCAN Clustering Algorithm: https://youtu.be/Ia0a4B2m9HQ
clustering Algorithm's Matlab codes
You can see following video for DBSCAN Clustering Algorithm: https://youtu.be/Ia0a4B2m9HQ
3 years 前 | 0
已回答
How do I implement Linear regression with leave-one-out cross validation in MATLAB?
Demo code of Implementation linear regression with leave-one-out cross validation in MATLAB Note: I have tried to avoid the inb...
How do I implement Linear regression with leave-one-out cross validation in MATLAB?
Demo code of Implementation linear regression with leave-one-out cross validation in MATLAB Note: I have tried to avoid the inb...
4 years 前 | 1
已回答
Hough transform doesn't detect some lines
Simple Code , no need Hough-- clc clear all close all warning off x=imbinarize(rgb2gray(imread('Capture.JPG'))); imshow(x)...
Hough transform doesn't detect some lines
Simple Code , no need Hough-- clc clear all close all warning off x=imbinarize(rgb2gray(imread('Capture.JPG'))); imshow(x)...
4 years 前 | 0
已回答
Help In Separation of objects in an image into different images
Check this code: clc clear all close all x=imbinarize(rgb2gray(imread('Capture.JPG'))); imshow(x); [L n]=bwlabel(x); fo...
Help In Separation of objects in an image into different images
Check this code: clc clear all close all x=imbinarize(rgb2gray(imread('Capture.JPG'))); imshow(x); [L n]=bwlabel(x); fo...
4 years 前 | 0
提问
Is the code for binary logistic regression is correct using glmfit? I am new in this domain , so confused a bit
%% clc clear all close all warning off %% g=[2.7810836 2.550537003 0 1.465489372 2.362125076 0 3.396561688 4.400293529 0...
4 years 前 | 0 个回答 | 0
0
个回答已回答
covariance and correlation
Execute the below code , in th cova variable covariance & in the corr variable , correlation result will be stored... clc clea...
covariance and correlation
Execute the below code , in th cova variable covariance & in the corr variable , correlation result will be stored... clc clea...
4 years 前 | 0
已回答
Write a MATLAB program to sketch the following discrete-time signals in the time range of –10 ≤ n ≤ 10. Please label all the graph axes clearly. If the sequence is complex, plot the magnitude and angle separately. i) x(n) = u(n) – u(n – 3)
n1=-10:10; x=(n1>=0); n2=n1+3; y=x; u=min(min(n1),min(n2)); t=max(max(n1),max(n2)); r=u:1:t; z1=[]; temp=1; for i=1:len...
Write a MATLAB program to sketch the following discrete-time signals in the time range of –10 ≤ n ≤ 10. Please label all the graph axes clearly. If the sequence is complex, plot the magnitude and angle separately. i) x(n) = u(n) – u(n – 3)
n1=-10:10; x=(n1>=0); n2=n1+3; y=x; u=min(min(n1),min(n2)); t=max(max(n1),max(n2)); r=u:1:t; z1=[]; temp=1; for i=1:len...
4 years 前 | 0
已回答
k nearest neighbor regression function
clc clear all close all x=input('Enter the x coordinates:'); y=input('Enter the y coordinates:'); z=[]; a=input('Enter the...
k nearest neighbor regression function
clc clear all close all x=input('Enter the x coordinates:'); y=input('Enter the y coordinates:'); z=[]; a=input('Enter the...
4 years 前 | 0