Module 1.2: Histogram Equalization: Solved Numerical Question 1| Digital Image Processing

Veröffentlicht am: 29 September 2024
auf dem Kanal: Electronics By Ajay Sir

8,280

129

📊 Mastering Histogram Equalizations: Step-by-Step Tutorial! 📊

In this video, I have discussed step by step procedure to solve numerical question based on Histogram Equalization.

Histogram: Histogram is a discrete function formed by counting the number of pixels that have a certain gray level in the image

In the dark images, components of the histogram are concentrated on the lower (dark) side of the gray scale. In bright images, the histogram is biased towards the higher side of the gray scale

In low contrast, the histogram will be narrow & centered towards the middle of the gray scale. In high contrast, a large variety of gray tones occupy the entire range of possible gray levels

Histogram Equalization:
1. It is the process that transforms the intensity values so that the histogram of the output image approximately matches the flat (uniform) histogram.

2. The aim is to create an image with equally distributed brightness levels over the whole brightness scale.

3. We can do it by adjusting the probability density function (pdf) of the original histogram of the image so that the probability spread equally.

4. Histogram equalization results are similar to contrast stretching but offer the advantage of full automation

5. Histogram Equalization automatically determines a transformation function to produce a new image with a uniform histogram

You may refer the following books to practice more numerical questions:

1. R.C.Gonzalez and R.E.Woods, “Digital Image Processing”, Prentice Hall, 3rd Edition,2011.

2. S. Sridhar , “Digital Image Processing”, Oxford University Press,2011

If you have any suggestion/feedback or if you want videos on any topic related to digital image processing , please do comments in my video or write email to me: ask2ajaysir@gmail.com

#DigitalImageProcessing #ImageProcessing #ComputerVision #MachineLearning #AIImageProcessing #ImageEnhancement #ImageSegmentation #ImageAnalysis #DataScience #DeepLearning #ImageRecognition #ImageFilters #OpenCV #ComputerGraphics #ImageProcessingTutorials #MorphologicalOperations #ImageMorphology #DigitalImageProcessing #digitalimageprocessing #btechexams #ImageProcessingNumericals #UniversityExams #BTechPreparation #MidTermExams #EndTermExams #EngineeringExams #NumericalProblems #ImageProcessingTutorials #BTechStudyGuide #DigitalSignalProcessing #ExamPreparation #EngineeringNumericals #IndiaBTechStudents

#histogram, #histogram equalization, #histogram matching, #histogram stretching, #histogram specification, #image enhancement, #image restoration, #image segmentation, #image compression

Auf dieser Seite können Sie das Online-Video Module 1.2: Histogram Equalization: Solved Numerical Question 1| Digital Image Processing mit der Dauer stunde minuten sekunde in guter Qualität ansehen, das der Benutzer Electronics By Ajay Sir 29 September 2024 hochgeladen hat, den Link mit Freunden und Bekannten teilen, dieses Video wurde auf Youtube bereits 8,280 Mal angesehen und es wurde von 129 den Zuschauern gefallen. Viel Spaß beim Betrachtenden Zuschauern gefallen!

8,037

129