Patent Number: 
Section: claims

1. A method for automatically identifying geometric defects in turbine engine blades, comprising the steps of:acquiring one or more radiographic images corresponding to one or more turbine engine blades;identifying one or more regions of interest in the one or more radiographic images;extracting one or more geometric features of the turbine engine blade located in the one or more regions of interest; andanalyzing the one or more geometric features to identify one or more geometric defects present in the one or more geometric features of the turbine engine blades,wherein analyzing the one or more geometric features is not dependent on a set statistical parameters or a reference image. 2. The method of claim 1, wherein identifying the one or more regions of interest comprises generating an edge image corresponding to one or more cooling channels in the turbine engine blades, from the one or more radiographic images. 3. The method of claim 2, wherein the edge image is generated using a laplacian edge detection technique. 4. The method of claim 2, wherein identifying the one or more regions of interest further comprises automatically extracting a trailing edge region corresponding to the turbine engine blade, from the edge image. 5. The method of claim 4, wherein extracting the one or more geometric features of the turbine engine blade located in the one or more regions of interest further comprises segmenting one or more trailing edge holes along the trailing edge region of the turbine blade. 6. The method of claim 5, wherein the one or more geometric features are extracted using a plurality of techniques selected from the group consisting of connected components, centroid computation, outlier elimination, hough transforms, second derivative profiles and anisotropic diffusion. 7. The method of claim 5, further comprising applying at least one of a turbine engine blade acceptance criterion and a turbine engine blade rejection criterion based on the one or more extracted geometric features, to identify the one or more geometric defects in the turbine engine blades. 8. The method of claim 7, further comprising classifying one or more of the geometric defects in the turbine blade based on the extracted geometric features and at least one of the turbine engine blade acceptance criterion and the turbine engine blade rejection criteria. 9. The method of claim 8, wherein the one or more geometric defects comprise least one of missing holes, dwells, overdrills, merges, misdrills and scarfs in the cooling holes of the turbine blades. 10. The method of claim 9, wherein at least one of the scarfs and dwells are identified using relative contrast measures. 11. The method of claim 1, wherein the radiographic images are acquired using an X-ray imaging system. 12. A system for automatically identifying geometric defects in turbine engine blades comprising:a feature segmentation component configured to identify one or more regions of interest in one or more radiographic images corresponding to one or more turbine engine blades;a feature identification component configured to extract one or more geometric features of the turbine engine blade located in the one or more regions of interest; anda defect identification component configured to analyze the one or more geometric features to identify one or more geometric defects present in the one or more geometric features of the turbine engine blades, wherein said analysis is not dependent on statistical parameters or reference image. 13. The system of claim 12, wherein the one or more radiographic images are acquired using an X-ray imaging system. 14. The system of claim 12, wherein the feature segmentation component is configured to generate an edge image corresponding to one or more cooling channels in the turbine engine blades, from the one or more radiographic images. 15. The system of claim 14, wherein the feature segmentation component is further configured to automatically extract a trailing edge region corresponding to the turbine engine blade, from the edge image. 16. The system of claim 15, wherein the feature identification component is further configured to segment one or more trailing edge holes along the trailing edge region of the turbine blade. 17. The system of claim 12, wherein the feature identification component is configured to extract the one or more geometric features using a plurality of techniques selected from the group consisting of connected components, centroid computation, outlier elimination, hough transforms, second derivative profiles and anisotropic diffusion. 18. The system of claim 16, wherein the defect identification component is configured to apply at least one of a turbine engine blade acceptance criterion and a turbine engine blade rejection criterion based on the one or more extracted geometric features, to identify the one or more geometric defects in the turbine engine blades. 19. The system of claim 18, wherein the defect identification component is configured to classify the one or more geometric defects in the turbine blade based on the extracted geometric features and at least one of the turbine engine blade acceptance criterion and the turbine engine blade rejection criteria. 20. The system of claim 19, wherein the one or more geometric defects comprise least one of missing holes, dwells, overdrills, merges, misdrills and scarfs in the cooling holes of the turbine blades.