• R. BHAGYA SRI
• M. Sai Krishna
• Sk.Haseena
• Sk.Imran
• P.V.N.Krishna,Dr.G.Chenchu Krishnaiah

In light of Otsu's method, we present a novel method for picture division that iteratively seeks out subregions of the picture rather than focusing on the entire picture for preparing. Beginning with Otsu's limit, the iterative system calculates the mean estimations of the two classes that are distinguished by the edge. The method divides the image into three classes rather than the standard Otsu's two due to the Otsu's limit and the two mean values. The underlying two classes are settled as the front facing region and establishment and they will not be changed further. The second rate class is referred to as a to-be-determined set (TBD) that changes at the next focus. At the succeeding accentuation, Otsu's strategy is associated on the to be determined region to find out another breaking point and two class suggests and the yet to be decided locale is again partitioned into three classes, specifically, closer view, establishment, and one more yet to be determined region, which by definition is tinier than the past yet to be decided regions.By then, the new yet to be determined area is changed in the tantamount manner. The system stops when as far as possible determined between two cycles isn't quite as much as a preset edge. By then, all the centre very front and establishment regions are, independently, solidified to make the last division result. Tests on designed and veritable pictures showed the way that the new Iterative method can achieve favoured execution over the standard Otsu's technique in various testing cases, for instance, perceiving weak inquiries and uncovering fine designs of mind boggling articles while the included computational cost is irrelevant.

Binarization, Otsu’s method, Threshold Segmentation, Tri-class segmentation.

"AN ITERATIVE TRICLASS THRESHOLDING ON GRAY SCALE IMAGES FOR AN EFFECTIVE SEGMENTATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 4, page no.l530-l536, April-2023, Available :http://www.jetir.org/papers/JETIR2304B76.pdf

"AN ITERATIVE TRICLASS THRESHOLDING ON GRAY SCALE IMAGES FOR AN EFFECTIVE SEGMENTATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 4, page no. ppl530-l536, April-2023, Available at : http://www.jetir.org/papers/JETIR2304B76.pdf