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دسته بندی دوره ها

The Complete Computer Vision Bootcamp: From Zero to Expert!

سرفصل های دوره

The modern Computer Vision course for everyone! Projects, challenges and theory. Many courses in one!


1 - Introduccion
  • 1 - Introduction to the Course
  • 2 - Working in MATLAB
  • 2 - Working-in-MATLAB.pdf

  • 2 - The Digital Image
  • 3 - Basic Concepts
  • 3 - Basic-Concepts.pdf
  • 4 - Discretization of the Image
  • 4 - Discretization-of-the-Image.pdf
  • 5 - Working with Images
  • 5 - Working-with-Images.pdf
  • 5 - disk.zip
  • 5 - workingwithimages.zip
  • 6 - Domain Evaluation
  • 6 - domainevaluation.zip
  • 7 - How to Save an Image
  • 7 - How-to-Save-an-Image.pdf
  • 7 - howtosaveimage.zip
  • 8 - Mesh Function
  • 8 - Mesh-Function.pdf
  • 8 - disk.zip
  • 8 - mesh.zip

  • 3 - Image Quantification
  • 9 - Introduction to Colour Quantification
  • 9 - Introduction-to-Colour-Quantification.pdf
  • 9 - flowers.zip
  • 9 - introductiontocolourquantification.zip
  • 10 - RGB and HSI Models
  • 10 - RGB-and-HSI-Models.pdf
  • 10 - flowers.zip
  • 10 - rgbandhsimodels.zip

  • 4 - Image Preprocessing
  • 11 - Introduction to Image Preprocessing
  • 11 - Introduction-to-Image-Preprocessing.pdf
  • 12 - Image Information Retrieval
  • 12 - Image-Information-Retrieval.pdf
  • 12 - imageinformationretrieval.zip
  • 12 - what-is.zip
  • 13 - Gray Level Histogram
  • 13 - Gray-Level-Histogram.pdf
  • 13 - graylevelhistogram.zip
  • 13 - what-is.zip
  • 14 - Histogram Equalization
  • 14 - Histogram-Equalization.pdf
  • 14 - histogramequalization.zip
  • 14 - what-is.zip
  • 15 - Affine Transformation
  • 15 - Affine-Transformation.pdf
  • 15 - affine-transformation.zip
  • 15 - lenna.zip
  • 16 - Arithmetic Operations
  • 16 - Arithmetic-Operations.pdf
  • 16 - cars1.zip
  • 16 - cars2.zip
  • 16 - cars3.zip
  • 16 - imagesubtraction.zip
  • 17 - Quality Control Project Statement
  • 17 - Quality-Control-Statement.pdf
  • 17 - Quality-Control-using-the-difference-image.pdf
  • 17 - tablets1.zip
  • 17 - tablets2.zip
  • 18 - Quality Control Project Solution Part 1
  • 18 - Quality-Control-Statement.pdf
  • 18 - Quality-Control-using-the-difference-image.pdf
  • 18 - qualitycontrolsolutionpart1.zip
  • 18 - tablets1.zip
  • 18 - tablets2.zip
  • 19 - Quality Control Project Solution Part 2
  • 19 - Quality-Control-Statement.pdf
  • 19 - Quality-Control-using-the-difference-image.pdf
  • 19 - tablets1.zip
  • 19 - tablets2.zip
  • 20 - Introduction to Convolution
  • 20 - Introduction-to-Convolution.pdf
  • 21 - ScriptExecution.pdf
  • 21 - Working with Convolution
  • 21 - Working-with-Convolution.pdf
  • 21 - workingwithconvolution.zip
  • 22 - Image Noise and Smoothing Filters
  • 22 - Image-Noise-and-Smoothing-Filters.pdf
  • 22 - gull.zip
  • 22 - imagenoise-script.zip
  • 23 - Contour Detection
  • 23 - Contour-Detection.pdf
  • 23 - contourdetection-script.zip
  • 23 - rabb.zip

  • 5 - Morphological Image Processing
  • 24 - Introduction to Morphological Image Processing
  • 24 - Introduction-to-Morphological-Image-Processing.pdf
  • 25 - Dilations
  • 25 - Dilations.pdf
  • 25 - dilationscript.zip
  • 25 - stain.zip
  • 26 - Erosions
  • 26 - Erosions.pdf
  • 26 - erosionscript.zip
  • 26 - stain.zip
  • 27 - Morphological Gradients
  • 27 - Morphological-Gradients.pdf
  • 27 - scriptmorphologicalgradients.zip
  • 27 - spaces.zip
  • 28 - Distance Transform
  • 28 - Distance-Transform.pdf
  • 28 - cells.zip
  • 28 - scriptdistancetransform.zip
  • 29 - Conditional Dilation and Reconstruction
  • 29 - Conditional-Dilation-and-Reconstruction.pdf
  • 29 - scriptconditionaldilationandreconstruction.zip
  • 29 - setofcells.zip
  • 30 - Challenge 1 Wrench Reconstruction
  • 30 - Wrench-Reconstruction.pdf
  • 30 - kit.zip
  • 30 - solutionwrenchreconstruction.zip
  • 31 - Challenge 2 Greek Symbols
  • 31 - Greek-Symbols.pdf
  • 31 - solutiongreeksymbols.zip
  • 31 - symbols.zip
  • 32 - Challenge 3 Closed Holes
  • 32 - Closed-Holes.pdf
  • 32 - holes.zip
  • 32 - solutionclosedholes.zip
  • 33 - Opening and Closing
  • 33 - Opening-and-Closing.pdf
  • 33 - script.zip
  • 33 - stain.zip
  • 34 - Gear Detection
  • 34 - Gear-Detection.pdf
  • 34 - scriptgeardetection.zip
  • 35 - Skeletons
  • 35 - Skeletons.pdf
  • 35 - cities.zip
  • 35 - scriptskeleton.zip
  • 36 - Morphology for Multilevel Images
  • 36 - Morphology-for-Multilevel-Images.pdf
  • 36 - barcode.zip
  • 36 - script.zip
  • 37 - Noise Elimination
  • 37 - Noise-Elimination.pdf
  • 37 - passerines.zip
  • 37 - scriptnoiseelimination.zip
  • 38 - Final Applications
  • 38 - Final-Applications.pdf
  • 38 - scriptfinalapplications.zip
  • 38 - symbols.zip
  • 38 - verticals.zip
  • 38 - water.zip
  • 39 - Capping-of-Cell-Nuclei.pdf
  • 39 - Multilevel Reconstruction Capping of Cell Nuclei
  • 39 - cellsnuclei.zip
  • 39 - scriptsolution.zip
  • 40 - Border-Structures.pdf
  • 40 - Multilevel Reconstruction Border Structures
  • 40 - rice.zip
  • 40 - scriptborderstructures.zip
  • 41 - Regional Maxima and Minima
  • 41 - Regional-Maxima-and-Minima.pdf
  • 41 - scriptregionalextrema.zip
  • 41 - tablets.zip

  • 6 - Image Binarization
  • 42 - Introduction to Image Binarization
  • 42 - Introduction-to-Image-Binarization.pdf
  • 43 - Techniques to Binarize an Image
  • 43 - Techniques-to-Binarize-an-Image.pdf
  • 43 - places.zip
  • 43 - rabbit.zip
  • 43 - rice.zip
  • 43 - scripttechniquestobinarize.zip
  • 44 - Labeling
  • 44 - Labeling.pdf
  • 44 - rice.zip
  • 44 - scriptlabeling.zip

  • 7 - Image Segmentation
  • 45 - Introduction to Image Segmentation
  • 45 - Introduction-to-Image-Segmentation.pdf
  • 46 - Canny Edge Detector
  • 46 - Canny-Edge-Detector.pdf
  • 46 - scriptcannyedgedetector.zip
  • 47 - Watershed
  • 47 - Watershed.pdf
  • 47 - scriptwatershed.zip
  • 48 - Automatic Markers Acquisition
  • 48 - Automatic-Markers-Acquisition.pdf
  • 48 - rabbit.zip
  • 48 - script.zip
  • 49 - Script-Solution.pdf
  • 49 - Separation of Objects
  • 49 - Separation-of-Objects.pdf
  • 49 - cells.zip
  • 49 - scriptseparationofobjects.zip
  • 50 - KMeans Clustering
  • 50 - K-Means-Clustering.pdf
  • 51 - KMeans Clustering Application
  • 51 - K-Means-Clustering-Application.pdf
  • 51 - Script-Output.pdf
  • 51 - greens.zip
  • 51 - kmeansscript.zip
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