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

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"
}