marceloopencv's profile - activity

Thank you so much!

I used the function http://docs.opencv.org/2.4.8/modules/core/doc/operations_on_arrays.html?highlight=normalize#cv2.normalize (Core.Normalize()).

I could not do question four.;

(DataMeasures on Image Sequences) Define three different data measures Di (t), i = 1, 2, 3, for analysing image sequences. Your program should do the following: 1. Read as input an image sequence (e.g. in VGA format) of at least 50 frames. 2. Calculate your data measures Di (t), i = 1, 2, 3, for those frames. 3. Normalize the obtained functions such that all have the same mean and the same variance. 4. Compare the normalized functions by using the L1-metric. Discuss the degree of structural similarity between your measures in dependence of the chosen input sequence of images.

Hey, guys! I'm doing a video reading and for each frame I need to calculate the average standard deviation and the variance. (I did these calculations without problems using the openCv method).

Now, after normalizing each of the frames, I need to compare the two functions (the original and normalized) using metric L1 (manhattan distance).

Does anyone have any ideas or suggestions on how this can be done?