Image Edge Detection Kernel
Apply edge detection convolution kernels to identify and highlight edges and contours in images
API Documentation
Request Endpoint
Request Parameters
| Parameter Name | Type | Required | Description |
|---|---|---|---|
| imageFile | file (Upload required) | Yes | Image to apply edge detection kernel |
| kernelType | select | No | Type of edge detection kernel to apply |
| intensity | number | No | Strength of the edge detection effect (0.1-5.0) |
| invert | checkbox | No | Invert the edge detection result (black edges on white background) |
| format | select | No | Output format for the processed image |
| quality | number | No | Output quality for lossy formats |
File type parameters need to be uploaded first via POST /upload/image-edge-detect-kernel to get filePath, then pass filePath to the corresponding file field.
Response Format
{
"filePath": "/public/processing/randomid.ext",
"fileName": "output.ext",
"contentType": "application/octet-stream",
"size": 1024,
"metadata": {
"key": "value"
},
"error": "Error message (optional)",
"message": "Notification message (optional)"
}
AI MCP Documentation
Add this tool to your MCP server configuration:
{
"mcpServers": {
"elysiatools-image-edge-detect-kernel": {
"name": "image-edge-detect-kernel",
"description": "Apply edge detection convolution kernels to identify and highlight edges and contours in images",
"baseUrl": "https://elysiatools.com/mcp/sse?toolId=image-edge-detect-kernel",
"command": "",
"args": [],
"env": {},
"isActive": true,
"type": "sse"
}
}
}
You can chain multiple tools, e.g.: `https://elysiatools.com/mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp`, max 20 tools.
Supports URL file links or Base64 encoding for file parameters.
If you encounter any issues, please contact us at [email protected]