In this article, we will tackle how to program image recognition. Also, let us learn the three main steps of programming image recognition.
Learn About Program Image Recognition
What is image recognition? Image recognition is an algorithm that is used in computer vision.
It is used to identify objects in pictures or videos. Image recognition is also known as object recognition or object detection.
So image recognition is very useful in many applications. Such as the following:
- medical image analysis
- surveillance systems
- robotics
- etc.
So it can be used to identify people in an airport for security reasons. Now let us discuss how to program image recognition.
What are the steps to program image recognition? There are three main steps involved in image recognition:
1: Input The Picture Or Video
First of all, when you program the image recognition. You have to input the picture or video that you want to recognize into your computer.
So you can use any graphics program. It is to create a new image out of your video files.
Or you can also use any basic video editing software.
That comes with most computers, such as Windows Movie Maker.
2: Convert Into Binary Image Format
Image recognition works best on grayscale images with binary formats. So you have to convert your image into a binary format
Before running it through the algorithm. If you do not want to go through the hassle of using a graphics editor.
So you can use this online conversion tool called the binary vector, you can go to their website. Simply upload your picture and click on “Convert File”.
Then it will convert your picture into a binary format. Just make sure that you upload the full-size version of the picture.
Not a thumbnail version of it because it may not work properly otherwise. You can then download the converted file.
So you can use it for further processing on your computer. You can also do this offline by using any graphics editor like Photoshop or Gimp.
Then, converting the image into a grayscale format with binary format (usually .bmp). The advantage of using offline software instead of online software.
It is that you can get better quality images since there will be no compression done on them. While uploading online, they would take up more space than usual.
So it would take longer for them to load. But they will look clearer than if they were compressed when uploaded online.
So we recommend using offline software instead of online software if possible. This is to get better quality images and spend less time waiting for them to load.
Because downloading online files takes longer than downloading local files. Yet it takes up more space than usual because they get compressed when uploaded online.
So using offline software instead would save time and get better quality images.
3: Run The Algorithm On The Binary Image Format
Once you have the binary format of your picture, then you can run the algorithm on it. You can use this algorithm on your computer or your smartphone.
The easiest way to do this is to use an open-source image recognition library. There are many of these available online.
So you simply need to download it and run it with the right parameters. I will go over what these parameters are in the next section of this article.
