=======Making hsv_trackbar in opencv=======
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**Author:** <Brandon Seo> Email: <hyunduck1024@gmail.com> <!-- replace with your email address -->
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**Date:** Last modified on <08/18/19>
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**Keywords:** <moments, hsv, Tutorial, step-by-step>
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This tutorial's motivation is to practice basic autonomous system using ROS. Readers of this tutorial assumes the reader has the following background and interests: 

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  * know how to use opencv_tutorial.
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  * background of c++.
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  * This tutorial may also attract readers who want to study opencv.
</fc>
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The rest of this tutorial is presented as follows:
  * [[tutorialTemplate#partsListAndSources|Parts List and Sources]]
  * [[tutorialTemplate#construction|Construction]]
  * Programming <!- delete this line if not applicable ->
  * Final Words
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===== Motivation and Audience =====

Readers of this tutorial assumes the reader has the following background and interests: 
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To run this tutorial. The following should be completed
OPENCV Tutorial - [[http://www.daslhub.org/unlv/wiki/doku.php?id=open_cv_set_up|opencv_videocapture]]
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OPENCV Detecting ball- Object recognition, Object position recognition  
[[http://www.daslhub.org/unlv/wiki/doku.php?id=color_detecting|Detecting ball]]
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=====Step 1=====
===Moments function===
It was relatively easy to find the centers of the circle. 
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But when it came to finding the centroid of an arbitrary shape, the methods were not straightforward.
Because the camera couldn't always catch the perfect circle.
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So, We're going to modify detecting code using a moments funtion.. 
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This is guide for moments [[https://www.learnopencv.com/find-center-of-blob-centroid-using-opencv-cpp-python/|moments function]]
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It can be more accurate than simply using stats.
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{{:moments.png?300|}}
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We can find the center of the ball using moments in OpenCV
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=====Step 2=====
====Set up the hsv variables====
If you don't know well about HSV color, click this. [[https://www.learnopencv.com/color-spaces-in-opencv-cpp-python/|HSV_opencv]]
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it could be easy to set up the low  high value of the HSV.
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=====Step 3=====
====create trackbar====
Now you can create trackbars since you've done the above.
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Trackbars are very useful in lots of occasions. 
It enables users to change various parameters while the OpenCV application is running. 
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{{:trackbar.png?400|}}
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finally, you can make Opencv code on your own.
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This is what I did {{:opencv_trackbar.docx|opencv_trackbar_code}}
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Final Words
For questions, clarifications, etc, Email: hyunduck1024@gmail.com