Comment on page
Maximum Images
The
Maximum Images node in AugeLab Studio is used to create an image that contains the maximum pixel values from two input images. It compares the pixel values of each corresponding pair of pixels in the input images and selects the maximum value to create the output image.The
Maximum Images node takes two input images of the same size and compares the pixel values at each corresponding position in the images. It selects the maximum value from each pair of pixels and constructs an output image with these maximum values. The node is useful for combining images or selecting the brightest pixels from multiple images.- Node Title: Maximum Images
- Node ID: OP_NODE_MAXIMUM_IMAGE
The
Maximum Images node has the following input sockets:- 1.Image 1: The first input image.
- 2.Image 2: The second input image.
Both input images should have the same dimensions.
The
Maximum Images node has the following output socket:- 1.Output Image: The resulting image that contains the maximum pixel values from the input images.
The output image will have the same dimensions as the input images.
- 1.Drag and drop the
Maximum Imagesnode from the node library onto the canvas in AugeLab Studio. - 2.Connect the first input image to the Image 1 input socket of the
Maximum Imagesnode. - 3.Connect the second input image to the Image 2 input socket of the
Maximum Imagesnode. - 4.Run the pipeline.
- 5.The
Maximum Imagesnode will compare the pixel values at each corresponding position in the input images. - 6.It will select the maximum value from each pair of pixels and construct the output image.
- 7.The resulting image, containing the maximum pixel values from the input images, will be output through the Output Image output socket.
- 8.Use the output image for further analysis or display it in the console.
- The
Maximum Imagesnode requires two input images of the same size. - The node compares the pixel values at each corresponding position in the input images and selects the maximum value to construct the output image.
- The node supports images of any size and data type.
- If the input images have different dimensions, an error will be raised. Use the
Image Resizenode to resample one of the images to match the size of the other image. - The
Maximum Imagesnode performs element-wise maximum comparison of the pixel values in the input images. - The resulting image will have the same dimensions as the input images.
- The node uses NumPy's
np.maximum()function to compute the element-wise maximum.
That concludes the documentation for the
Maximum Images node in AugeLab Studio. This node allows you to create an image that contains the maximum pixel values from two input images, enabling you to combine images or select the brightest pixels.