Image Threshold

Class: ImageThresholdBlockV1

Source: inference.core.workflows.core_steps.classical_cv.threshold.v1.ImageThresholdBlockV1

Apply a threshold to an image. The image must be in grayscale.

Type identifier

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

Properties

Name	Type	Description	Refs
name	str	Enter a unique identifier for this step..	❌
threshold_type	str	Type of Edge Detection to perform..	✅
thresh_value	int	Threshold value..	✅
max_value	int	Maximum value for thresholding.	✅

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 Image Threshold in version v1.

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

Input and Output Bindings

The available connections depend on its binding kinds. Check what binding kinds Image Threshold in version v1 has.

Bindings

• input

  • image (image): The input image for this step..
  • threshold_type (string): Type of Edge Detection to perform..
  • thresh_value (integer): Threshold value..
  • max_value (integer): Maximum value for thresholding.

• output

  • image (image): Image in workflows.

Example JSON definition of step Image Threshold in version v1

{
    "name": "<your_step_name_here>",
    "type": "roboflow_core/threshold@v1",
    "image": "$inputs.image",
    "threshold_type": "binary",
    "thresh_value": 127,
    "max_value": 255
}