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Image processing
Segmentation Deep learning Image analysis Image labeling Image segmentation Cell features Education Life science GLOVE
  1. Go to item
    Workflow
    Extraction of Image Labels and Dominant Colors
    Marketing Analytics Colour Dominance Label Detection
    +2
    This workflow uses the Google Vision API to extract image properties, detect labels, and determine color dominance. It then imple…
    knime > Machine Learning and Marketing > Other Analytics > Image Analysis > Google Cloud Vision & Image Features > Image_colour_label
    1
    knime
  2. Go to item
    Workflow
    Application: Masking using a Thresholder
    Image processing
    Image masking using a global thresholder.
    knime > Examples > 99_Community > 01_Image_Processing > 01_Tutorials > 02_Application_Tutorials > 04_Masking > 01_Masking_using_Thresholder
    1
    knime
  3. Go to item
    Workflow
    Application: 3D Segmentation
    Image processing Image segmentation Image labeling
    This is an example workflow that illustrates 3D-Segmenation
    knime > Examples > 99_Community > 01_Image_Processing > 01_Tutorials > 02_Application_Tutorials > 15_3D_Segmentation > 12_3D_Segmentation
    1
    knime
  4. Go to item
    Workflow
    Feature Calculation
    Image processing Image segmentation Image features
    In this workflow the Feature Calculator Node is explained. This node can be applied on both entire images and image segmentations
    knime > Examples > 99_Community > 01_Image_Processing > 01_Tutorials > 01_Node_Tutorials > 06_Feature_Calculation
    1
    knime
  5. Go to item
    Workflow
    Integrations: ImageJ
    Image processing
    This tutorial workflow shows some simple ImageJ functionality in KNIME.
    knime > Examples > 99_Community > 01_Image_Processing > 02_Integrations > 01_ImageJ > 01_ImageJ
    1
    knime
  6. Go to item
    Workflow
    Interactive Annotator
    Image processing Image labeling
    This workflow explains the Interactive Annotator Node. It allows to manually create a labeling for images.
    knime > Examples > 99_Community > 01_Image_Processing > 01_Tutorials > 01_Node_Tutorials > 14_Interactive_Annotator
    1
    knime
  7. Go to item
    Workflow
    Integration: Tess4J
    Image processing
    This workflow shows an example of Optical Character Recognition (OCR) using Tess4J.
    knime > Examples > 99_Community > 01_Image_Processing > 02_Integrations > 03_Tess4J > 01_Tess4J
    1
    knime
  8. Go to item
    Workflow
    Application: Car Counting
    Image processing Image segmentation Image tracking
    This tutorial workflow demonstrates how to count the number of cars driving on a street, given a recording of the street.
    knime > Examples > 99_Community > 01_Image_Processing > 03_Applications > 04_Car_Counting
    1
    knime
  9. Go to item
    Workflow
    01_caption_preprocessing
    Image processing Image analysis Image captioning
    +5
    In this workflow we look-up a GLOVE embedding vector (https://nlp.stanford.edu/projects/glove/) for each word in our caption voca…
    bwilhelm > Public > DL_Workshop > ImageCaptioning > 03_create_glove_vector_dictionary
    0
    bwilhelm
  10. Go to item
    Workflow
    01_caption_preprocessing
    Image processing Image analysis Image captioning
    +5
    In the last workflow of this series, we predict the captions of the images in our test sample. This can be done using a similar i…
    bwilhelm > Public > DL_Workshop > ImageCaptioning > 05_inference
    0
    bwilhelm
  11. Go to item
    Workflow
    01_caption_preprocessing
    Image processing Image analysis Image captioning
    +5
    After we cleaned the training captions and pre-calculated image-/word- features, the caption network can be trained. In this exam…
    bwilhelm > Public > DL_Workshop > ImageCaptioning > 04_train_model
    0
    bwilhelm
  12. Go to item
    Workflow
    01_caption_preprocessing
    Image processing Image analysis Image captioning
    +5
    In this workflow we create image feature vectors for each image in the training data using a pretrained InceptionV3 (https://arxi…
    bwilhelm > Public > DL_Workshop > ImageCaptioning > 02_calculate_InceptionV3_features
    0
    bwilhelm
  13. Go to item
    Workflow
    01_caption_preprocessing
    Image processing Image analysis Image captioning
    +5
    In this workflow we use simple textprocessing techniques to reduce the complexity of the captions used for training. This will li…
    bwilhelm > Public > DL_Workshop > ImageCaptioning > 01_caption_preprocessing
    0
    bwilhelm
  14. Go to item
    Workflow
    Semantic Segmentation with Deep Learning in KNIME
    Deep learning Image processing Image analysis
    +8
    This workflow shows how the new KNIME Keras integration can be used to train and deploy a specialized deep neural network for sem…
    bwilhelm > Public > DL_Workshop > SemanticSegmentation
    0
    bwilhelm
  15. Go to item
    Workflow
    01_caption_preprocessing
    Image processing Image analysis Image captioning
    +5
    In this workflow we look-up a GLOVE embedding vector (https://nlp.stanford.edu/projects/glove/) for each word in our caption voca…
    davek > Public > DL_Workshop_ImgAna_2020 > ImageCaptioning > 03_create_glove_vector_dictionary
    0
    davek
  16. Go to item
    Workflow
    01_caption_preprocessing
    Image processing Image analysis Image captioning
    +5
    In this workflow we create image feature vectors for each image in the training data using a pretrained InceptionV3 (https://arxi…
    davek > Public > DL_Workshop_ImgAna_2020 > ImageCaptioning > 02_calculate_InceptionV3_features
    0
    davek
  17. Go to item
    Workflow
    Strnad et al. XLSX to MaMuT XML
    Tracking Image processing
    Convert a .xlsx file from (Strnad et al. 2016) into a TrackMate/MaMuT .xml file. Coordinates in the .xlsx files are in pixel coor…
    imagejan > fmi-basel > workflows > Strnad et al. XLSX to MaMuT XML
    0
    imagejan
  18. Go to item
    Workflow
    Image Feature Mining: Colour Dominance and Label Detection
    Marketing Analytics Colour Dominance Label Detection
    +2
    This workflow takes advantage of Google Vision API to extract image properties, detect labels, determine colour dominance and vis…
    roberto_cadili > Marketing Challenge KNIME & LUISS > Image Feature Mining - Colour Dominance and Label Detection
    0
    roberto_cadili
  19. Go to item
    Workflow
    Image Processing
    Life science Education Image processing
    +2
    "Image Processing" exercise for basic Life Science User Training - smooth the image to reduce image noise using Gaussian convolut…
    ioneliad > Public > ID_Workflow_Group > L1-LS KNIME Analytics Platform for Data Scientists - Life Sciences - Basics > Exercises > 04. Image Processing
    0
    ioneliad
  20. Go to item
    Workflow
    Working with images in KNIME
    Image processing Image Deep Learning
    This workflow reads an image dataset and performs basic image manipulation operations. The nodes are part of the KNIME Image Proc…
    emilio_s > Simple Examples > Working with images in KNIME
    0
    emilio_s

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