In simple words what do you mean by feature vector in image processing ?

i am getting cofused by the basic definition of feature vector . is too technical

in simple words how will you define feature vector

Answer 1

[Image Analyst]

It's simply a list of all the measurements you make on an image . Let's say you measure your image and find out area = 12345, perimeter= 678, mean gray level=73, and average solidity of the blobs in the image = 0.7. Then you could make a feature vector

featureVector = [12345, 678, 73, 0.7];

Then you can do whatever you want with that, for example put it in an Excel workbook, or pass it on to some other function for further processing, for example to see what other feature vectors that you've cataloged in a database of human faces this particular feature vector matches best.

[anmol maharana]

How did you find the area and perimeter of the image?

[Image Analyst]

The area of the entire image in pixels is

[rows, columns, numberOfColorChannels] = size(theImage);
area = rows * columns;

The perimeter is the length of the sides:

perimeter = 2 * (rows + columns) - 4;