How to classify these images as straight, left oriented, right oriented. Which method i can apply.? Couldn't find any methods after a lot of searching. can you help me.

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Karthik K 2018-12-18

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评论： Karthik K 2019-6-18

采纳的回答： Image Analyst

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Walter Roberson 2018-12-18

Threshold to black and white. imfill() the holes. Then do the regionprops.

Karthik K 2018-12-19

Now its 22*1 struct field with highest value at the 1st position.

MajorAxisLength = 446.005497994246

MinorAxisLength = 277.216494649624.

How can i further move on sir?

Also if we need to present according to degree orientation shown below. how to proceed. Any idea.?

180 degree <---- ------> 90 degree

0 degree

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Image Analyst 2018-12-18

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What I'd do is to extract the lower portion of the image. Then compute the location of the weighted centroid. If it's way off to the left, it's let facing. If it's to the right of the mid line, it's right facing. If it's reasonally close to the middle, it's symmetrical. Untested code

lowerRow = round(size(grayImage, 1) * 0.75);
subImage = grayImage(lowerRow:end, :)
mask = true(size(subImage));
props = regionprops(mask, subImage, 'WeightedCentroid');
xCentroid = props.WeightedCentroid(1); % Get x centroid.
columns = size(subImage, 2));
if xCentroid < 0.4 * columns
    % Facing left
elseif xCentroid > 0.6 * columns
    % Facing right
else
    % Symmetrical so facing forward.
end