Paper Information

Title: 

USING IMAGE-PROCESSING TECHNIQUES FOR RECOGNIZE PARTICLES SIZE SOIL TILTHS

Type: PAPER
Author(s): KHOSRAVI JAMAL,NAJAFI SAEID,ASOUDAR MOHAMMAD AMIN
 
 
 
Name of Seminar: HAMAYESHE MANTAGHEI KARBORD FANAVARIHAYE NOVIN DAR KESHAVARZI
Type of Seminar:  CONGRESS
Sponsor:  Islamic Azad University, Shiraz
Date:  2008Volume 1
 
 
Abstract: 

CONVENTIONAL METHOD FOR THE DETERMINATION OF CLOD SIZE DISTRIBUTION IS COLLECTING, HANDLING AND SIEVING OF THE SOIL SAMPLES. ACCORDING TO SELECT SAMPLE FROM SOIL TILTH IS HARD, TIME CONSUMING, AND EXPENSIVE. THEREFORE, THE AIM OF THIS PAPER IS TO USE COMPUTER VISION AS A NON-CONTACT MEASUREMENT TECHNIQUE FOR THE DETERMINATION OF CLOD/AGGREGATE SIZE DISTRIBUTION IN THE FIELD. DIGITAL IMAGES WERE ACQUIRED FROM THREE DIFFERENT SOIL TILTHES, NAMELY: COARSE, INTERMEDIATE AND FINE FOR SANDY LOAM SOILS.
GEO-CORRECTION MODELS, DIGITAL FILTERS AND IMAGE-ENHANCEMENT TECHNIQUES WERE USED IN ORDER TO CORRECT THE GEOMETRIC AND QUALITY DISTORTIONS IN THE IMAGES. THREE DIGITAL IMAGE PROCESSING TECHNIQUES, NAMELY: CONTRAST DETECTION, EDGE DETECTION AND AGGREGATE FINDING AND CLASSIFICATION (AFC) ANALYSIS WERE INVESTIGATED AND PASSED THROUGH A ‘VIRTUAL SIEVE’ TO DETERMINE CLOD SIZE DISTRIBUTION. IMAGE-PROCESSING RESULTS WERE CORRELATED WITH THE RESULTS OF STANDARD SIEVING. THE CONTRAST DETECTION TECHNIQUE WAS FOUND TO BE SIGNIFICANTLY THE BEST AT DETECTING AND CLASSIFYING THE AGGREGATES/CLODS FOR SOIL TILTH SENSING WITH A SIZE DETECTION ROOT-MEAN-SQUARE ERROR (RMSE) OF 14MM.

 
Keyword(s): IMAGE PROCESSING, PARTICLES SIZE SOIL, TILTH
 
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