Digital Image Processing

U. Snekhalatha ¹, M. Anburajan ², B. Venkatraman ³, M. Menaka ³, Baldev Raj ³

Affiliations
1 Department of Biomedical Engineering, SRM University, Kattankulathur, Tamilnadu, IN
2 Biomedical Engineering Department, SRM University, Kattankulathur, Tamilnadu, IN
3 Indra Gandhi Center for Atomic Research, Kalpakkam, Kalpakkam-603102, IN

Abstract

Thermal imaging method is a non invasive, non contact, accurate method for detecting the inflammation in arthritis compared to other diagnostic methods. Thermal imaging plays a crucial role in evaluation and monitoring the inflammation in rheumatoid arthritis .The aim of our study was to evaluate and monitor the inflammatory arthritis in rats by means of skin temperature measurement using thermal imaging technique. 0.2ml of mixture of freunds complete adjuvant mixed with a phosphate buffer saline at 1:1 are injected in right hind limb and forelimb and left limbs are kept for control. Thermal analysis of wistar rats showed that significant increase in mean temperature difference about 0.80c and 0.90c increase in temperature in inflamed right fore limb and hind limb than the left limb controls.

Keywords

Rheumatoid Arthritis, Freunds Complete Adjuvant Skin Temperature Measurement, Thermal Imaging, Wistar Rat.

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P. Chitra ¹, B. Sheela Rani ¹, B. Venkataraman ², Baldev Raj ³

Affiliations
1 Sathyabama University, Chennai 119, IN
2 Quality Assurance Division, Indira Gandhi Centre for Atomic Research, Kalpakkam, IN
3 Indira Gandhi Centre for Atomic Research, Kalpakkam, IN

Abstract

Radiography is one of the oldest Non Destructive Techniques used to find the volumetric defects in welding. After digitization, radiographic images are generally of low contrast, dark and have high noise. Hence it is difficult to detect the defects with very high accuracy. Hence, image enhancement is a significant part of automated radiography inspection system. Weld defect detection or classification is a multi-step process which plays a vital role in processing of the radiographic weld image. Edge Detection is one of the pre-processing step to eliminate the unwanted information from the radiographic image and used to extract the required defect information (edge of the Radiographic image) during further processing. This paper mainly deals with first derivative edge detection filters which are applied on the radiographic weld image. The optimum threshold value for the edge detection filters based on the type of defects is obtained. The major defects like weaving faults, crack, under cut and slag inclusion are analyzed.

Keywords

Digital Radiography, Edge Detection, Morphological Processing, Weld Defects.

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