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Image ROI
The
Image ROI node in AugeLab Studio allows you to define a region of interest (ROI) by cropping an image based on specified width and height ranges. It enables you to extract a specific portion of an image for further processing or analysis.The
Image ROI node takes an image as input and provides the following outputs:- 1.ROI Image: The region of interest (ROI) extracted from the input image.
- 2.ROI Coordinates: The coordinates of the ROI within the input image.
- Node Title: Image ROI
- Node ID: OP_NODE_ROI
The
Image ROI node has the following input socket:- 1.Image: The input image from which the ROI will be extracted.
The
Image ROI node has the following output sockets:- 1.ROI Image: The region of interest (ROI) extracted from the input image. The output is a cropped image representing the specified ROI.
- 2.ROI Coordinates: The coordinates of the ROI within the input image. The ROI coordinates are provided as a tuple with the format
((x_min, y_min), (x_max, y_max)), where(x_min, y_min)represents the top-left corner of the ROI and(x_max, y_max)represents the bottom-right corner of the ROI.
- 1.Drag and drop the
Image ROInode from the node library onto the canvas in AugeLab Studio. - 2.Connect the input image from which the ROI will be extracted to the Image input socket of the
Image ROInode. - 3.Adjust the width and height ranges using the sliders to define the desired ROI.
- 4.Run the pipeline.
- 5.The
Image ROInode will crop the input image based on the specified width and height ranges. - 6.The cropped ROI image will be outputted from the ROI Image output socket of the
Image ROInode. - 7.The coordinates of the ROI within the input image will be outputted from the ROI Coordinates output socket of the
Image ROInode. - 8.Retrieve the output ROI image and ROI coordinates for further processing or analysis.
- The
Image ROInode allows you to define a region of interest (ROI) by cropping an image based on specified width and height ranges. - The width and height ranges can be adjusted using the sliders provided by the node.
- The node performs cropping based on the specified width and height ranges and outputs the cropped ROI image and ROI coordinates.
- The extracted ROI image and ROI coordinates can be used for further processing, analysis, or visualization in subsequent nodes.
That concludes the documentation for the
Image ROI node in AugeLab Studio. Use this node to define a region of interest (ROI) by cropping an image based on specified width and height ranges.