Module 2.1 : Extraction of Connected Components | Morphological Operations | DIP скачать в хорошем качестве

Module 2.1 : Extraction of Connected Components | Morphological Operations | DIP

Extraction of connected components in digital image processing involves identifying and labeling distinct groups of connected pixels, which represent objects or regions in a binary image. This process is essential for various morphological operations and image analysis tasks. Digital image size refers to the dimensions and file size of an image, which are crucial for both display and printing purposes. Understanding these concepts enables effective use of images in various digital contexts. 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 #Erosion, #Dilation, #Opening, #Closing, #HitMissTransform, #TopHatTransform, #BlackHatTransform, #BoundaryExtraction, #NoiseReduction, #ShapeAnalysis, #ObjectDetection, #ImageSegmentation, #Thinning, #Thickening, #Skeletonization, #MathematicalMorphology, #ImageFiltering, #CVTutorials