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Image thresholding is a very important phase in the image analysis process. However, different images have different characteristics making the traditional process of thresholding by one algorithm a very challenging task. That is because any thresholding method may be perform well for some images but for sure it will not be suitable for all images. In this paper, intelligent thresholding by training...
This paper proposes an automatic but simple counting method for counting the symmetric objects. In stead of using the classical thresholding method to segment the area of interest, fast radial symmetry transform is employed to segment the symmetric areas which are also the areas of interest. Simulation results show that the proposed counting method yields 100% counting accuracy in pills counting even...
We propose a formulation for solving the point pattern correspondence problem, relying on transformation invariants. Our approach can accommodate any degree of descriptors thus modeling any kind of potential deformation according to the needs of each specific problem. Other potential descriptors such as color or local appearance can also be incorporated. A brief study on the complexity of the methodology...
Biometric is the science of measuring human physiological and/ or behavioral characteristics for the purpose of authentication and identification. One of the human's physiological characteristics, palmprint, is gaining popularity among researchers because it is features rich. Palmprint is unique and easy to capture using a conventional digital camera. It does not change much across time. In this paper,...
In this paper, multiobjective optimization is applied to determine the optimal feature weights for a multi-resolution image quality metric. The optimization is conducted with respect to two aims; maximization of quality prediction accuracy and generalisation ability to unknown images. A thresholding of the optimal weights is applied to further reduce computational complexity of the quality metric...
Recent disasters have emphasized the significance of automated dental identification systems. Statistics show that 20% of the 9/11 victims, identified in the first year, were manually identified using dental records. Moreover, 75% of Tsunami victims in Thailand were similarly identified using dental records, compared to 0.5% identified using DNA. This paper addresses the first important problem of...
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