Adaptive Thresholding | Computer Vision | Python | OpenCV | Code Warriors

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In this video we will discuss about Adaptive Thresholding of Image in CV.

Computer Vision is an ever-evolving area of study, with specialized custom tasks and techniques to target application domains. I visualize its market value growing as fast as its capabilities. With our intelligence and interest, we will soon be able to blend our abilities with Computer Vision and achieve new heights.

The idea to impart human intelligence and instincts to a computer seems rather effortless. Conceivably, because it is solved by very young children too, but we often tend to forget the limitations of computers as compared to our biological capabilities. The complexity of vision perception infinitely varies and is ever dynamic in the case of human beings itself, let alone Computer intelligence.

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[gowthameaswark]

Learnt on
- to improve intensity using adaptive threshold
-Examples on adaptive threshold and uses

[viboosithasrins]

In this video i learnt about adaptive threshold and where we can use it and its
Adv over normal threshold along with Type of adaptive threshold

[samrithad]

The session well explained adaptive thresholding and the adaptive methods like adaptive_thresh_mean_c and gaussian_c used for it. We were able to get clearer images by changing the parameters and threshold types.

[BiranchiNarayanNayak]

Excellent tutorial. Learnt a lot. Thanks

[jaisonj]

learnt about adaptive thresholding, types of thresholding, etc

[dharnishrsd]

In this video I learned about adaptive thresholding and it's two methods

[rohinisingh]

Summary:
-we can change intensity or apply threshold
-Adaptive threshold is used for advance thresholding
-some of examole of adaptive threshold are
-- ADAPTIVE_THRESH_MEAN_C
-- ADAPTIVE_THRESH_GAUSSIAN_C

[sivasaideepakpulipaka]

In this I learnt about adaptive threshold based on images it changes

[pavithradevim]

In this session I have learned the adaptive thresholding
1) adaptive thresh mean c
2) adaptive thresh gausion c

[chaithanyareddy]

In this vedio, I learnt about adaptive threshold i.e calculating threshold for small small places of the image.also different types of threshold, uses of those .

[bharatchandrahanumanthavaj]

summary : in this session i have learnt about adaptive thresholding, and its types and how to calculate the threshold for images. thank you

[ScoreboardLives]

#Summary
In this video I learnt about adaptive thresholding...
Types of threshold....
#codewarriors
#ComputerVision

[divyavundavalli]

Summary:

Threshold is a method of image segmentation, in general it is used to create binary images.
Types:
-->simple thresholding
-->adaptive thresholding.
By using threshold we can change the intensity of images

Methods for adaptive threshold are
--> ADAPTIVE_THRESH_MEAN_C
--> ADAPTIVE_THRESH_GAUSSIAN_C

[saminenichandana]

In this video I learnt about adaptive thresholding.
Types of thresholding and how to calculate it for images etc.

[radhikakedia]

In this video we learnt about Adaptive Thresholding in which the value of every pixels in the image keeps on changing according to the requirement at that point. This pixel value can be changed using two methods along with the Threshold methods.

[Sandeepkishor]

good video to get started with adaptive thresholding of image
nice session too 🦾🧠

[devikasapra]

Session Summary:
1. Adaptive thresholding.
2. Types of adaptive threshold methods.
3. Uses.

[shubhgupta]

Summary :- The algorithm calculate the threshold for a small regions of the image. So we get different thresholds for different regions of the same image and it gives us better results for images with varying illumination.

[chandrashekharm]

Summary of this video as follows -

1. There will not be fixed value to threshold as in simple thresholding.
2. The value at every pixel keep on changing according to images.
3. "cv2.adaptiveThreshold" is the method.
4. Different types of adaptive threshold like "cv2.ADAPTIVE_THRESH_MEAN_C" and

[yashrajtambe]

Summary:
1)Adaptive thresholding gives better results without the need of manually providing input parameters.
2)Two of them are specially provided which uses a Gaussian as well as mean thresholding.