I am taking article"Plant leaf identification". In that article wavelet features are extracted from leaf image using haar wavelet transform and it gives 81 dimensional feature vector..I don't understand what features are extracted and how it gives 81 dimensional vector.Can anyone please tell what is wavelet feature of a leaf image and how it gives 81 dimensional feature vector?
Dear Pava Tharani,
Look the link. May be useful.
http://www.ijcse.com/docs/IJCSE11-02-02-34.pdf
https://books.google.az/books?id=9Wlxgb0riTcC&pg=PA193&lpg=PA193&dq=How+to+extract+wavelet+feature+from+leaf+image?&source=bl&ots=NK4cR1WR6i&sig=kbPR0BNHAhlEExbwVepVodgeM7Y&hl=ru&sa=X&ved=0ahUKEwidos_vv87KAhVFFywKHdXuAuAQ6AEIQjAP#v=onepage&q=How%20to%20extract%20wavelet%20feature%20from%20leaf%20image%3F&f=false
Regards, Shafagat
Dear Pava,
what are exactly the extracted features ? vectors of histograms no?
if you want i can send you the code source of the haar wavelet transform.
Yes sir I am extract vectors of Histogram..I want the code.It will be very helpful for me..Please Send it sir.