Digital Image Processing

C. Victoria Priscilla ¹, B. Poorna ²

Affiliations
1 Information Technology, S.D.N.B. Vaishnav College for Women, Chennai, IN
2 SSS Shasun College for Women, Chennai, IN

Abstract

In recent years, face recognition has gained much attention in the midst of the researchers because it is one among the challenging task in image processing which is widely used in many real time applications such as medical imaging, industrial manufacturing and security systems. Many algorithms have been applied to improve the accuracy in recognition of the face. In this paper the algorithm is developed and implemented using statistical features of the texture properties in conjunction with skin tone regions to recognize the face. The face is detected with skin tone regions and texture features are calculated automatically for the same. In addition to the skin tone regions the texture properties are applied in the extraction of features could be definitely strengthen the system to recognize the face. The Indian face Database has been used for the frontal faces with different expressions and the proposed method is simple to achieve high recognition rates and low false positives.

Keywords

Face Recognition, Skin Segmentation, Statistical Measures, Texture Features.

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B. Poorna ¹, I. Bremnavas ²

Affiliations
1 Eswari Engg. College, Chennai, IN
2 Jamal Mohamed College, Trichirappalli - 20, IN

Abstract

The purpose of this paper is to present a survey of recent works concerning medical image registration techniques and some central mathematical and statistical problems in medical imaging. It will be classified according to a model based on nine salient criteria, the main dichotomy of which is extrinsic versus intrinsic methods. The statistics of the classification show definite trends in the evolving registration techniques, which will be discussed. After defining the medical image registration problem, we provide a short introduction to a select group of multi-modal image alignment approaches. More precisely, we choose four widely-used statistical methods applied in registration scenarios for analysis and comparison. We clarify the implicit and explicit assumptions made by each, aiming to yield a better understanding of their relative strengths and weaknesses. We will also discuss how mathematics may impact some of the main problems in this area, including image enhancement, registration, and segmentation.

Keywords

Medical Imaging, Artificial Vision, Smoothing, Registration, Segmentation.

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