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: Line Counter, Llama 3.2 Vision, Blur Visualization, Perspective Correction, Polygon Zone Visualization, Bounding Box Visualization, QR Code Generator, Pixelate Visualization, Distance Measurement, Trace Visualization, Roboflow Custom Metadata, Image Threshold, Polygon Visualization, Dynamic Crop, Icon Visualization, Image Slicer, Stability AI Outpainting, Model Comparison Visualization, LMM, OpenAI, Classification Label Visualization, Stitch Images, Florence-2 Model, Mask Visualization, Single-Label Classification Model, Relative Static Crop, Absolute Static Crop, SIFT Comparison, Google Gemini, Circle Visualization, Florence-2 Model, LMM For Classification, Ellipse Visualization, Image Convert Grayscale, Object Detection Model, OCR Model, Image Preprocessing, Color Visualization, Image Blur, Stability AI Image Generation, Anthropic Claude, Google Vision OCR, Keypoint Visualization, Camera Calibration, Local File Sink, EasyOCR, Image Slicer, Email Notification, VLM as Detector, Line Counter, Roboflow Dataset Upload, Background Color Visualization, Triangle Visualization, Slack Notification, Keypoint Detection Model, Halo Visualization, Corner Visualization, Google Gemini, Model Monitoring Inference Aggregator, Roboflow Dataset Upload, Dot Visualization, Image Contours, Multi-Label Classification Model, Twilio SMS Notification, Instance Segmentation Model, VLM as Classifier, CSV Formatter, Reference Path Visualization, Morphological Transformation, OpenAI, Webhook Sink, Contrast Equalization, Camera Focus, Stitch OCR Detections, Stability AI Inpainting, CogVLM, Clip Comparison, Line Counter Visualization, Template Matching, Email Notification, Crop Visualization, Grid Visualization, OpenAI, SIFT, Depth Estimation, Background Subtraction, Label Visualization, Anthropic Claude, Pixel Color Count, SIFT Comparison, OpenAI
• outputs: Llama 3.2 Vision, Blur Visualization, Perception Encoder Embedding Model, SAM 3, Perspective Correction, Polygon Zone Visualization, Bounding Box Visualization, Pixelate Visualization, Trace Visualization, QR Code Detection, Segment Anything 2 Model, Image Threshold, Image Slicer, Icon Visualization, Polygon Visualization, Dynamic Crop, Stability AI Outpainting, Model Comparison Visualization, Clip Comparison, Single-Label Classification Model, LMM, OpenAI, Stitch Images, Classification Label Visualization, Florence-2 Model, Mask Visualization, Single-Label Classification Model, Relative Static Crop, SIFT Comparison, Absolute Static Crop, SAM 3, Moondream2, Google Gemini, Circle Visualization, Florence-2 Model, LMM For Classification, Time in Zone, Ellipse Visualization, Image Convert Grayscale, Object Detection Model, OCR Model, SmolVLM2, Anthropic Claude, Image Preprocessing, Image Blur, Stability AI Image Generation, Google Vision OCR, Color Visualization, Keypoint Visualization, Camera Calibration, VLM as Detector, Keypoint Detection Model, EasyOCR, Image Slicer, VLM as Detector, Byte Tracker, Roboflow Dataset Upload, Gaze Detection, Background Color Visualization, Triangle Visualization, Keypoint Detection Model, Multi-Label Classification Model, Object Detection Model, Detections Stabilizer, Halo Visualization, Google Gemini, Corner Visualization, Roboflow Dataset Upload, Dot Visualization, Image Contours, Multi-Label Classification Model, Instance Segmentation Model, VLM as Classifier, Seg Preview, Reference Path Visualization, Morphological Transformation, Motion Detection, OpenAI, Instance Segmentation Model, Barcode Detection, Detections Stitch, Contrast Equalization, YOLO-World Model, Camera Focus, Stability AI Inpainting, Clip Comparison, CogVLM, Line Counter Visualization, Template Matching, CLIP Embedding Model, Email Notification, Crop Visualization, VLM as Classifier, Buffer, OpenAI, SIFT, Background Subtraction, Depth Estimation, SAM 3, Anthropic Claude, Pixel Color Count, Label Visualization, Qwen2.5-VL, OpenAI, Dominant Color

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
}