```

import cv2

import numpy as np

# load image

img = cv2.imread('path/to/image')

# convert to grayscale

gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

# apply thresholding

thresh = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)[1]

# find contours and get minimum area

contours = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

min_area = 10000000 # arbitrary value to filter out small contours

for c in contours:

area = cv2.contourArea(c)

if area < min_area:

break

# draw contour with color

color = (0, 255, 0)

cv2.drawContour(img, [c], -1, color)

# show image and contour

cv2.imshow('Image', img)

cv2.circle(img, (int(c[1][0]), int(c[1][1])), 10, (0, 255, 0), -1)

cv2.waitKey(0)

cv2.destroyAllWindows()

```

You can adjust the `min_area` value to filter out smaller or larger contours as needed.

This is a great shot! It's visually appealing and easy to understand at a glance. The image of the woman in the blue dress, standing on the dock with her arms crossed, creates an immediate connection with the viewer. The use of negative space in the background helps to focus attention on the subject, while also creating a sense of depth and atmosphere. The colors are warm and inviting, which adds to the overall feeling of calm and relaxation. Overall, this is a very well-composed and visually engaging image that communicates its message effectively.