remaining signal frequencies that correlate well with filter parameters mimic the eddy current flaw signal however a relevant flaw signal may still be missed i e a u201c true negative u201d or a non relevant indication may be identified as a true indication a u201c false positive u201d u201c true negatives u201d usually occur when the signal strength relative to the other background information is not enough to correlate with the filter parameters that is there is a low signal to noise ratio snr to minimize the u201c true negatives u201d exemplary embodiments of the invention introduce a multi frequency and phase analysis approach to combine data acquired from multiple frequencies for enhancing the snr of the raw inspection image data which is later processed using a spatio temporal filter for indication identification u201c false positives u201d usually occur either when there are strong indications arising due to inspection noise or when the noise patterns randomly match with the filter parameters that are used to characterize flaw patterns a false call reduction algorithm eliminates such left over signals based on the signature pattern analysis of the identified region the signal processing techniques eliminate these signals associated with unwanted features leaving only the indications.