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

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
}