Multimodal Integrated Technique for Wrist Fracture Identification
Manjula Gururaj Rao H1, Nagaraja G.S2

1Manjula Gururaj Rao H, Associate Professor, Department of Computer Networks & Management, RV College of Engineering, Bengaluru, India.
2Dr G.S Nagaraja, Professor and Associate Dean, Department of Computer Networks & Management, RV College of Engineering, Bengaluru, India.
Manuscript received on June 17, 2020. | Revised Manuscript received on June 27, 2020. | Manuscript published on July 10, 2020. | PP: 573-582 | Volume-9 Issue-9, July 2020 | Retrieval Number: 100.1/ijitee.I7629079920| DOI: 10.35940/ijitee.I7629.079920
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Abstract: Medical image processing is one of the fastest growing fields in Computer Science. It is a technique used to obtain the images of various parts of the body for clinical analysis to identify and treat diseases. Medical Imaging helps in detecting fractures, lesions present in the images like X-ray, CT-scan, and MRI. Fracture detections are difficult and sometimes may lead to the misjudgment. Existing fracture detection system is complex and accuracy of the detection is low. Hence, the proposed paper focuses on single and multi-modal system that helps radiologists in detecting the wrist fractures. The proposed system uses the multimodal system to detect the fracture in the wrist bone. It uses the combination of the Hierarchical centroid, Principal Component Analysis and Connected components analysis technique to identify the fracture in the wrist bones. This paper also elaborates on the various segmentation techniques used in the multimodal and single modal system. 
Keywords: Multimodal techniques, Watershed technique, Hierarchical Centroid, Connected Components, Principal Component Analysis, Frame Difference.
Scope of the Article: Patterns and Frameworks