Morphological Transformation

Class: MorphologicalTransformationBlockV1

Source: inference.core.workflows.core_steps.classical_cv.morphological_transformation.v1.MorphologicalTransformationBlockV1

Apply morphological transformation to an image

See https://docs.opencv.org/4.x/d9/d61/tutorial_py_morphological_ops.html

Note: This block currently only supports single-channel (grayscale) images. Color images will be converted to grayscale before processing.

Type identifier

Use the following identifier in step "type" field: roboflow_core/morphological_transformation@v1to add the block as as step in your workflow.

Properties

Name	Type	Description	Refs
name	str	Enter a unique identifier for this step..	❌
kernel_size	int	Size of the kernel to use for morphological transformation..	✅
operation	str	Type of morphological operation to use..	✅

The Refs column marks possibility to parametrise the property with dynamic values available in workflow runtime. See Bindings for more info.

Available Connections

Compatible Blocks

Check what blocks you can connect to Morphological Transformation in version v1.

• inputs: Stability AI Outpainting, CogVLM, Image Slicer, Pixelate Visualization, SIFT Comparison, Webhook Sink, Image Threshold, Blur Visualization, VLM as Classifier, Twilio SMS Notification, Image Slicer, Image Blur, Camera Calibration, Morphological Transformation, OpenAI, Polygon Visualization, Dot Visualization, Florence-2 Model, Single-Label Classification Model, Background Color Visualization, Distance Measurement, VLM as Detector, Stability AI Image Generation, Multi-Label Classification Model, Roboflow Dataset Upload, Corner Visualization, Line Counter, Halo Visualization, CSV Formatter, Mask Visualization, Trace Visualization, OCR Model, Model Monitoring Inference Aggregator, Camera Focus, Color Visualization, Clip Comparison, LMM, Ellipse Visualization, Model Comparison Visualization, Triangle Visualization, Image Preprocessing, Template Matching, Anthropic Claude, Roboflow Custom Metadata, SIFT, Depth Estimation, Email Notification, Dynamic Crop, Line Counter Visualization, Crop Visualization, Image Contours, Google Gemini, Grid Visualization, Contrast Equalization, Instance Segmentation Model, Google Vision OCR, OpenAI, SIFT Comparison, Classification Label Visualization, Roboflow Dataset Upload, Stitch Images, Keypoint Visualization, Absolute Static Crop, OpenAI, Perspective Correction, Pixel Color Count, Polygon Zone Visualization, Keypoint Detection Model, Llama 3.2 Vision, Stitch OCR Detections, Image Convert Grayscale, QR Code Generator, Local File Sink, Circle Visualization, Slack Notification, Icon Visualization, Object Detection Model, Stability AI Inpainting, Florence-2 Model, Bounding Box Visualization, LMM For Classification, EasyOCR, Label Visualization, Reference Path Visualization, Relative Static Crop, Line Counter
• outputs: Stability AI Outpainting, VLM as Classifier, CogVLM, Image Slicer, Clip Comparison, Pixelate Visualization, Image Threshold, Blur Visualization, SmolVLM2, VLM as Classifier, Image Slicer, Moondream2, Image Blur, Camera Calibration, Morphological Transformation, OpenAI, Polygon Visualization, Single-Label Classification Model, Dot Visualization, Florence-2 Model, Single-Label Classification Model, Background Color Visualization, VLM as Detector, Stability AI Image Generation, Multi-Label Classification Model, Roboflow Dataset Upload, Corner Visualization, Halo Visualization, Mask Visualization, Trace Visualization, OCR Model, Camera Focus, Qwen2.5-VL, Color Visualization, Clip Comparison, Relative Static Crop, LMM, Detections Stitch, Ellipse Visualization, Instance Segmentation Model, Reference Path Visualization, Model Comparison Visualization, Object Detection Model, Triangle Visualization, Anthropic Claude, Template Matching, Image Preprocessing, Keypoint Detection Model, SIFT, Depth Estimation, Gaze Detection, Line Counter Visualization, Dynamic Crop, VLM as Detector, Crop Visualization, Image Contours, Multi-Label Classification Model, Segment Anything 2 Model, Contrast Equalization, Perception Encoder Embedding Model, QR Code Detection, Instance Segmentation Model, Google Vision OCR, Time in Zone, OpenAI, SIFT Comparison, Barcode Detection, Classification Label Visualization, CLIP Embedding Model, Roboflow Dataset Upload, Stitch Images, OpenAI, Keypoint Visualization, Absolute Static Crop, Perspective Correction, Pixel Color Count, Polygon Zone Visualization, Keypoint Detection Model, Llama 3.2 Vision, YOLO-World Model, Image Convert Grayscale, Detections Stabilizer, Circle Visualization, Icon Visualization, Object Detection Model, Stability AI Inpainting, Florence-2 Model, Bounding Box Visualization, LMM For Classification, Dominant Color, EasyOCR, Label Visualization, Byte Tracker, Google Gemini, Buffer

Input and Output Bindings

The available connections depend on its binding kinds. Check what binding kinds Morphological Transformation in version v1 has.

Bindings

• input

  • image (image): The input image for this step..
  • kernel_size (integer): Size of the kernel to use for morphological transformation..
  • operation (string): Type of morphological operation to use..

• output

  • image (image): Image in workflows.

Example JSON definition of step Morphological Transformation in version v1

{
    "name": "<your_step_name_here>",
    "type": "roboflow_core/morphological_transformation@v1",
    "image": "$inputs.image",
    "kernel_size": "5",
    "operation": "Closing"
}