Code the following tasks as applied in the picture given below. You can develop it with Python etc. programming languages as a coding language.

Task: Finding the Number of Cells in the microscope image and the attributes to be obtained from its cells

1. Apply priority sharpening to the given image 2. Convert the resulting image to a binary image by applying the most appropriate thresholding method. 3. If the output contains many components, apply a morphological technique to reduce the number of components (for example filtering by component size or erosion) 4. Apply a connected component labeling algorithm to the given images 5. Show your results by displaying detected components/objects in different colors 6. Calculate the area, orientation, and circularity for each relevant region/object. 7. Identify the border pixels of each region (edge detection) and calculate the compactness, the ratio of the area to the perimeter

Note: Please share the image you obtained in each step of the homework submission.

Good Work...