Image Threshold¶
Version v1
¶
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@v1
to add the block as
as step in your workflow.
Properties¶
Name | Type | Description | Refs |
---|---|---|---|
name |
str |
The unique name of 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¶
Check what blocks you can connect to Image Threshold
in version v1
.
- inputs:
Label Visualization
,Crop Visualization
,Mask Visualization
,Blur Visualization
,Image Contours
,Bounding Box Visualization
,Image Convert Grayscale
,Camera Focus
,Dot Visualization
,Color Visualization
,Corner Visualization
,Circle Visualization
,Perspective Correction
,Image Slicer
,Triangle Visualization
,Relative Static Crop
,Absolute Static Crop
,Halo Visualization
,Background Color Visualization
,SIFT
,Pixelate Visualization
,Polygon Visualization
,Dynamic Crop
,Image Blur
,Ellipse Visualization
,Image Threshold
- outputs:
Template Matching
,Roboflow Dataset Upload
,Detections Stitch
,Multi-Label Classification Model
,Blur Visualization
,Segment Anything 2 Model
,Barcode Detection
,Image Convert Grayscale
,Camera Focus
,Dot Visualization
,VLM as Detector
,Corner Visualization
,Circle Visualization
,OpenAI
,Triangle Visualization
,CogVLM
,Relative Static Crop
,Absolute Static Crop
,Pixel Color Count
,LMM For Classification
,Background Color Visualization
,YOLO-World Model
,Pixelate Visualization
,Polygon Visualization
,Image Threshold
,Label Visualization
,OCR Model
,Crop Visualization
,Mask Visualization
,Image Contours
,LMM
,Bounding Box Visualization
,QR Code Detection
,Object Detection Model
,Color Visualization
,Image Slicer
,Perspective Correction
,OpenAI
,Clip Comparison
,VLM as Classifier
,Keypoint Detection Model
,Clip Comparison
,Anthropic Claude
,Instance Segmentation Model
,Halo Visualization
,Google Gemini
,Roboflow Dataset Upload
,Dominant Color
,SIFT
,Dynamic Crop
,Image Blur
,Ellipse Visualization
,Single-Label Classification Model
The available connections depend on its binding kinds. Check what binding kinds
Image Threshold
in version v1
has.
Bindings
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
}