Search
New Code
The C# OCR Library 2020.11
SentiVeillance SDK Trial 7.3.2020.11.30
VaxVoIP WebPhone SDK 4.0.6.0
SentiMask SDK Trial 2.0_193121
C# QR Code Generator 2020.12
How to Read Text from an Image in C# 2020.12
The .Net PDF Library 2020.12.3
fsMediaLibrary.NET 2019.11.0
Entity Developer 6.9.1112
OrgChart JS 7.5.40
LinqConnect 4.9.2096
SSIS Data Flow Components 1.15
IP2Location Geolocation Database Oct.2020
Luxand FaceSDK 7.2
dbForge Data Compare for PostgreSQL 3.3.6
Top Code
Uber Clone with Safety Measure Addons 2.0
Answers phpSoftPro 3.12
phpEnter 5.1.
Quick Maps For Dynamics CRM 3.1
Single Leg MLM 1.2.1
Azizi search engine script PHP 4.1.10
Paste phpSoftPro 1.4.1
Extreme Injector 3.7
Apphitect Airbnb Clone Script 1.0
Deals and Discounts Website Script 1.0.2
Pro MLM 1
Solid File System OS edition 5.1
Classified Ad Lister 1.0
Aglowsoft SQL Query Tools 8.2
ICPennyBid Penny Auction Script 4.0
Code Listing by Ibraheem

Code 1-6 of 6   






addnoise(A,sz)
A: image matrix
sz: noise ratio (0 to 100) of the image

This function take an image and noise ratio then output a grayscaled image with uniform noise.

The uniform noise ranged from 0 to 255.



You may input an image or use random initialized values and see the results.
You can change the rules with new rules.
You can control the time.

Do you ave any related question, any suggestions to speed up the code, you are...



Simple function for drawing a rectangle in a gray image. Good for beginners.



It is a single lyer single neuron for linear sparable data classification.It implement the first neural networks algorithm by Rosenblatt's.
It is a single lyer single neuron for linear sparable data classification.It implement the first...



You can read 3D ANALYZE MRI image and view it interactively in the three planes. It is simple and helpful for students and researchers in medical image processing.
It is not perfect code and you can enhance it and add many things, it is just...



Simple Matlab Code for Neural Network Hebb Learning Rule.
It is good for NN beginners students. It can be applied for simple tasks e.g. Logic "and", "or", "not" and simple images classification.