International Journal of Engineering Research

P. Rama Raju ¹, S. Asif Hussain ¹

Affiliations
1 Department of ECE, AITS, Rajampet, IN

Abstract

Medical imaging has become an essential and integrated part of modern medical care and is depended upon a wide range of medical specialists. Infrared thermography has become a diagnostic aid for monitoring the therapeutic effect and disease progression. Thermal imaging or Infrared Imaging refers to mapping of temperature profiles on the surface of an object. It has been investigated that it is a potential tool for the detection of breast cancer. To delineate the breast region and get the exact boundaries from the unsharp IR image, Hough transform has been used. Thermal Image processing is also done to diagnose the Diabetes Mellitus in defined automated way. The Optimal methods identified can have prediction of diabetes at an earlier stage. The objective is to develop a Computer aided diagnosis (CAD) tool for objective assessment of tumor response to therapy and it provides quantitative parameters representing the tissue composition of the tumor these results should assist in planning therapy and delayed surgery. Sensitivity of the technique can be improved by a hybrid method in which it is combined with Ville Marie grading score which gives additional mean temperature difference taken in the foot region. This paper uses thermal images of diabetic foot instead of mammograms.

Keywords

Infrared Imaging, Computer-Aided Diagnosis.

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S. Asif Hussain ¹, R. Subhan Tilak Basha ¹

Affiliations
1 A.I.T.S, Rajampet, IN

Abstract

A hardware based on the ARM9 processor, using principal component analysis (PCA) of face recognition systems achieved recognition from the PC machine. System uses the common USB camera for image acquisition, Linux-based operating system software, and ARM9 S3C2440. To develop a low-cost, small face recognition face recognition system which has important practical significance the system uses ARM9 as the system control chip, the system achieved low cost, portability, miniaturization requirements. Different from the run on PC machine face recognition algorithm, the system identification algorithm must take into account the computing capacity and ARM-speed, so that recognition accuracy and recognition time is an acceptable range.

Keywords

PCA, Linux Software, ARM Speed, Miniaturization.

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