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Image Processing and Computer Vision Toolbox

A Module of Image Processing and Computer Vision Toolbox for Scilab
(367 downloads for this version - 239945 downloads for all versions)
Details
Version
4.5.0
Author
Tan Chin Luh
Maintainers
Vincent COUVERT
Chin Luh Tan
Stéphane MOTTELET
Category
License
Creation Date
November 29, 2023
Source created on
Scilab 2024.0.x
Binaries available on
Scilab 2024.0.x:
macOS Linux 64-bit Windows 64-bit
Install command
--> atomsInstall("IPCV")
Description
            IPCV – Scilab Image Processing & Computer Vision, a module of Image
Processing and Computer Vision Toolbox for Scilab. Topics covered shown as
below, for details check out the functions summary in the download section.

•	Analytic Geometry 
•	Camera Handling 
•	Deep Learning 
•	Feature Detection, Description and Matching 
•	Filter Design and Visualization 
•	Image Analysis and Statistics 
•	Image Arithmetic 
•	Image Block Processing 
•	Image Enhancement and Restoration 
•	Image Linear Filtering 
•	Image Reading, Display and Exploration 
•	Image Registration and Image Fusion 
•	Image Stitching 
•	Image Transforms 
•	Image Types and Color Space Conversions 
•	Morphological Operations 
•	Object Detection 
•	Object Tracking 
•	ROI Processing 
•	Spatial Transformations 
•	Structural Analysis and Shape Descriptors 
•	Super Resolution 
•	Utilities and Interactive Tools 
•	Video Handling 

Updates on 4.1.2 (2019-11-15)
•	Deep learning inference = support for ONNX model 
•	Preparing support for upcoming module to integrate with libTorch (pytorch) 
•	Update lib to OPENCV 4.1.2

Version 4.5 (21-Nov-23):
• Change OpenCV Dependency to 4.5
• base64toimg, imgtobase64 (20-Sep-2022) - experimental, requite USB E for
image exchange

            
Files (4)
[87.31 MB]
macOS binary for Scilab 2024.0.x

[74.11 MB]
Linux 64-bit binary for Scilab 2024.0.x

[98.77 MB]
Windows 64-bit binary for Scilab 2024.0.x

[13.82 MB]
Source code archive

News (5)
Comments (1)     Leave a comment 
Comment from Yukiya Kawakami -- December 1, 2023, 10:57:06 AM    
Hi,

I'd like to report that I found bugs in the " case 'log' " part in
fspecial.sci.

case 'log'
wrong:
        x2 = ones(siz(1),1) * ([-sizx:sizx]^2);
        y2 = ([-sizy:sizy]^2)' * ones(1, siz(2));
correct:
        x2 = ones(siz(1),1) * ([-sizx:sizx].^2);
        y2 = ([-sizy:sizy].^2)' * ones(1, siz(2));

I checked the difference between "case 'gaussian' " part and "case
'log' " part.
So, two "."(s) disappeared in the "case 'log' " part. These
are what I found.

Y. Kawakami
Answer from Stéphane MOTTELET -- December 1, 2023, 12:06:24 PM    
> Hi,
> 
> I'd like to report that I found bugs in the " case 'log' "
part
> in fspecial.sci.
> 
> case 'log'
> wrong:
>         x2 = ones(siz(1),1) * ([-sizx:sizx]^2);
>         y2 = ([-sizy:sizy]^2)' * ones(1, siz(2));
> correct:
>         x2 = ones(siz(1),1) * ([-sizx:sizx].^2);
>         y2 = ([-sizy:sizy].^2)' * ones(1, siz(2));
> 
> I checked the difference between "case 'gaussian' " part and
> "case 'log' " part.
> So, two "."(s) disappeared in the "case 'log' " part.
> These are what I found.
> 
> Y. Kawakami

Hello,

The dots did not dissapear, there were never present. However, since 2024.0 version Scilab
does not accept using the power operator on non-square matrices. I did not have time to
review all macros so thanks for the report.
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