Distance Measures in Image Processing : Dr Manjusha Deshmukh

[@Maybemiles_C]

straight and clear explanation mam. Thank You.

[@TheVertex-Engg-Lectures]

@@Maybemiles_C you are welcome 🤗 keep learning 👍

[@laraibzia3584]

very very nice explained thanku

[@TheVertex-Engg-Lectures]

Thanks dear

[@Cs_it_gyan]

Thanks YOu Mam for this video its very helpful for us

[@TheVertex-Engg-Lectures]

You are welcome 😊. I am glad to know that it was helpful 🙂

[@SathishYeripogu]

Wow marvelous explanations🥰😊👋🙌👏

[@TheVertex-Engg-Lectures]

Thank you so much for your comment

[@payalmehata8987]

loved it

[@TheVertex-Engg-Lectures]

thanks dear

[@patharamu76]

Fantastic explanation mam

[@TheVertex-Engg-Lectures]

Thank you so much. Keep watching. Best wishes 👍

[@newsbest6329]

well explain THANKS

[@TheVertex-Engg-Lectures]

You are welcome 😊 keep learning

[@aparnadesh4056]

good content

[@TheVertex-Engg-Lectures]

thanks

[@spokenenglishmentsbd9998]

MARVELLOUS stuff

[@TheVertex-Engg-Lectures]

Thank you so much 😊

[@mehadihasan599]

good explaination maam

[@TheVertex-Engg-Lectures]

Thank you so much 😊 keep learning 👍

[@noelmariadeepak9008]

Excellent Mam

[@TheVertex-Engg-Lectures]

Thank you so much 😊 keep learning 👍

[@faizyaburrahman2123]

thank you very helpful

[@TheVertex-Engg-Lectures]

You are welcome keep learning

[@rabeaahsan2070]

clear

[@TheVertex-Engg-Lectures]

thanks

[@warrenbuffet7474]

What is the answer for this question mam?
Consider a 2000x2000 image I, where all pixels in the left half (first 1000 columns) are white and those in the right half (last 1000 columns) are black. A new image (Inew) of the same size is formed from I by shuffling the pixel locations. Let D denotes the Euclidean distance between I and Inew. What is the total number of possible Inew images? What is the average of D across all these possible Inew images?

[@TheVertex-Engg-Lectures]

Euclidean distance is minimum distance between two pixels. No matter whether they are black or white. To calculate Euclidean distance you need to know row number and column number of both pixels.

[@warrenbuffet7474]

Can you justify it completely mam?

[@warrenbuffet7474]

For that question...