This post is modified from our previous blog, with our own permission. 🙂
We received some queries on the image pixels, which make us think that sometimes we might just go too far. So let’s back to the basic for this post and coming few posts. (we might be adding some application specified application from time to time, any ideas on what you wish to see, feel free to post at the comments).
Yes, one more thing we would like to say, we do apologize on missing some posts last few weeks, due to we were focusing on the preparation of IPCV 1.2, as well as putting our public training on IPCV up and running. Thanks for your understanding.
We are pleased to announce the release of Scilab IPCV 1.2 with bugs fixed and some new features such as high level super resolution and image stitching functions.
At the same time, our IPCV just hit 10,000 downloads at atoms portal after 1 year it has been uploaded.
Thanks for all the support from all of you, see you next year!
Happy New Year!
The Installation for the Scilab IPCV 1.2 for Windows 32-bits and 64-bits is the same with previous IPCV version.
As for Linux, we are trying to make IPCV 1.2 available for different Linux distributions by providing instruction for prerequisites libraries in this blogs, and it is an ongoing process.
As for today, 17-Dec-2017, we just release the IPCV for Linux 64-bit in atoms portal, and we will provide the instructions to setup in Ubuntu, and more will be coming in near future. If you have any success in making it available in other distributions, please share with others in comment.
In one of our previous tutorial, we had shared how to find the length of an object in an image. If you miss the tutorial, please visit this link.
One of our reader was asking whether it is possible to calculate the area for a selected region, and here we will try to work on it from the basic.
In the previous post we discussed about how to download the Google static map and plot the marker on given lat-long on the map. This allows the map to be reused offline.
To move further, we explore how could we use the map to visualize data on it, such as the temperature or the rainfall on the static map.
Couple of days ago we received an inquiry on how to show the google static map and put some markers on it, let’s see how to achieve this.
In order to do so, we need to perform 2 steps:
- Download Google Static Map
- Calculate the x and y location in correspond to the lat-long given
Super Resolution is used to increase the resolution of low resolution image for better visualization purpose or for recognition purpose.
In this week post, we will again share a upcoming new feature for IPCV v1.2, –> Image Super Resolution. In general, the are numbers of algorithms for super resolution, which works on either single image of frames of images.
In this implementation, we will use the code posted quite some time ago : Usage of sparse matrix (SparseMat) 2: Super resolution (1).
In earlier post : Panoramic Picture Creation , we illustrated a simple method of panoramic picture creation using sum of absolute differences, with assumption of no zooming, rotational variation in 2 images.
In this post, we will show a sneak preview on what new version of IPCV going to be release could help in this in a better way.
We always see tag cloud or text cloud from the web, tags could be single words or more, and the counts of each tag appeared is shown with font size or color.
This tutorial does not need IPCV or other extra modules to be installed, it could be done by simply using Scilab. However, the output image could be imported into Scilab with IPCV module.