A NEW METHOD OF IMAGE PROCESSING TECHNIQUE APPLIED TO CHROMOSOME RECOGNITION AND COUNTING

This paper describes a new method based on Four Neighbor Distance Transformation (FNDT) and Equal Diagonal Algorithm (EDA) to extract the medial axis and locate the centromere of the chromosome Compared to the Classical Thinning Algorithm and Four Neighbor Distance Transformation, the new method (FNDT-DEA) is more noise-tolerant, simpler in programming and faster in execution. The FDNTEDA provides the connective and one-pixel thick medial axis representing the length of chromosome. The Crofton directive parameters were used in the algorithm to locate the centromere in some chromosome. The number of chromosomes in a given cell is obtained with calculating either the Euler Number or the clase-curve’s subset. An intergroups classifier has also been designed. The FNDT-DEA gave results quite similar to those given with human assessment. It was concluded that this new method, FNDT-EDA, is appropriate for microcomputer-based analyzing the human chromosomes.