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To determine the centre of an image by incorporating its innermost contour, follow these steps:

1. Convert the image to a binary format, so that the object of interest is white and the background is black.

2. Use contour detection algorithms, such as the OpenCV findContours() function, to extract the innermost contour of the object. This will give you a list of points that define the contour.

3. Compute the centroid of the contour by averaging the x and y coordinates of all the contour points. This will give you the rough location of the centre of the object.

4. Refine the centroid by taking into account the shape of the contour. One approach is to use the Hu moments of the contour to compute the orientation and scale of the object. This can help you adjust the centroid to be more accurate.

5. Once you have the refined centroid, you can use it as the centre of the image.