Resizes the image in each dimension. The resulting values at each position in the image are set according to the resizing strategy. Please note, that the input values for each dimension can be interpreted in several ways.
Options
Column Selection
Popular Successors
Column Appender6 %- Keras Network Executor2 %
Table Row To Variable Loop Start2 %- Java Snippet2 %
- Image Normalizer2 %
- Projector2 %
- Create Collection Column2 %
- Partitioning2 %
- End IF2 %
Loop End2 %- Joiner2 %
- String Manipulation2 %
- Inverter2 %
- Loop End1 %
- Concatenate1 %
- Column Appender1 %
- GroupBy1 %
- Table Transposer1 %
- Keras Network Learner1 %
- DL Python Network Executor1 %
- Image Cropper1 %
- Number to String1 %
- Column Filter1 %
- RowID1 %
- Sorter1 %
- Renderer to Image1 %
- Rule Engine1 %
- DL4J Feedforward Predictor (Classification) (legacy)1 %
- Image to DataRow1 %
- Dimension Swapper1 %
- Image Properties1 %
- Image Converter1 %
- Global Thresholder1 %
- Image Resizer1 %
- Image Viewer1 %
- Tess4J1 %
- Column Resorter< 1 %
- Cross Joiner< 1 %
Row Filter (deprecated)< 1 %- Splitter (uncropped)< 1 %
- Table to Image< 1 %
- k-Means< 1 %
Concatenate (Optional in)< 1 %- Filter Apply< 1 %
Column Rename< 1 %- Quantile Filter< 1 %
- Dimension Extender< 1 %
- Labeling View< 1 %
Binary Objects to Files< 1 %- Constant Value Column< 1 %
Joiner< 1 %- Table Manipulator< 1 %
DL Network Executor< 1 %- Math Formula< 1 %
- Math Formula (Variable)< 1 %
Excel Writer (XLS)< 1 %- Image Output Widget (legacy)< 1 %
- Colorspace Converter< 1 %
- Dimension Cleaner< 1 %
- Fill Holes< 1 %
- Labeling Resizer< 1 %
- Image to Labeling< 1 %
- Labeling to PNG Images< 1 %
- Feature Calculator (BETA)< 1 %
- ImageJ Macro< 1 %
- Flip Vertically< 1 %
Active Learn Loop Start< 1 %- Copy/Move Files (legacy)< 1 %
Image Writer (Table Column)< 1 %- Read Images< 1 %
- CSV Writer< 1 %
Table Writer< 1 %Counting Loop Start< 1 %- Chunk Loop Start< 1 %
- Recursive Loop End< 1 %
- Cell Splitter< 1 %
Number To String< 1 %- String to Number< 1 %
- One to Many< 1 %
Row Splitter (deprecated)< 1 %Number To String (PMML)< 1 %- Row Sampling< 1 %
- Shuffle< 1 %
- Column Splitter< 1 %
- Ungroup< 1 %
- IF Switch< 1 %
- TensorFlow Network Executor< 1 %
- TensorFlow 2 Network Executor< 1 %
- Table to PDF (legacy)< 1 %
- DL4J Feedforward Learner (Classification) (legacy)< 1 %
- DL4J Feedforward Learner (Regression) (legacy)< 1 %
Excel Writer (XLS)< 1 %- Excel Writer< 1 %
- Tile View (JavaScript)< 1 %
- Average Filter< 1 %
- Gaussian Convolution< 1 %
- Convolver< 1 %
- Max Homogeneity< 1 %
- Bilateral Filter< 1 %
- Median Filter< 1 %
- PNG Image to ImgPlus< 1 %
- Transfer Image Metadata< 1 %
- Align image< 1 %
- Auto Crop< 1 %
- Rotation 2D< 1 %
- Distance Map< 1 %
- Intensity Binner< 1 %
- CLAHE< 1 %
- Connected Component Analysis< 1 %
- Local Thresholding< 1 %
- Slice Loop End< 1 %
- CellProfiler Pipeline Executor< 1 %
- Add Specified Noise...< 1 %
- Find Edges< 1 %
- Sharpen< 1 %
Python Script (1⇒1)< 1 %Python Script (2⇒2)< 1 %- Data to Report (BIRT)< 1 %
- Fail in execution< 1 %
- HTML Node to Text< 1 %
Views
- Image Viewer
- Another, possibly interactive, view on table cells. Displays the selected cells with their associated viewer if it exists. Available views are:
- Labeling View
-- View on a labeling/segmentation
- Combined View
-- A viewer shown when the user selects an interval of rows and columns in the viewer. This viewer combines all images and labelings in the selected interval to one image by rendering them next to each other. Alternatively, the images and labelings can be layed over each other.
- XML
-- XML tree
- Histogram Viewer
-- This viewer shows the histogram of the currently selected image.
- Image Viewer
-- This viewer renders the selected image-cell.
- Missing Value Viewer
-- An empty viewer that is shown when the input cell has no value to display.
- BigDataViewer
-- A viewer shown when the user selects an interval of rows and columns in the viewer. This viewer combines all images and labelings in the selected interval to one image by rendering them next to each other. Alternatively, the images and labelings can be layed over each other.
Workflows
00. Install KNIME ExtensionsKNIME Hub- 00. Install KNIME ExtensionsKNIME Hub
- 01_Classifiying_Cats_and_Dogs_Training - kmKNIME Hub
- 01_Image_ReStyling_WebportalKNIME Hub
- 01_Preprocess_image_dataKNIME Hub
- Show all 101 workflows
Links
- No links available
Developers
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