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Cervix cancer is the most common gynecological malignancy and second most common cancer among female in Malaysia after breast cancer. The objective of this study is to extract the size of nucleus and cytoplasm, as well as gray level values of cervical cells from ThinPrep images so that accurate value of those parameters can easily be obtained. An alternative approach of extracting features for Pap...
This paper presents a new algorithm for nighttime contrast enhancement. The proposed algorithm modifies the traditional histogram equalization algorithm to maintain the color information of the original nighttime images. The algorithm has a low computational cost that makes it suitable for real-time hardware implementation. In addition, its efficient hardware implementation is detailed on a Xilinx...
Recently, considerable research has been done to reduce the gap between direct observation of a scene and its recorded image. Typically the differences exist because of the high dynamic range compression capability of the human visual systems, and its capacity for color constancy. In this paper we define a new method that provides dynamic range compression, color consistency and color rendition for...
This paper proposes a novel wavelet based nonlinear image enhancement algorithm, including dynamic range compression, contrast enhancement and color restoration, for recorded images in non-uniform and uniform-dark lightning conditions. Dynamic range compression (DRC) has been applied by nonlinear function for enhancing dark and reducing the intensity of bright regions. The intensity has been tuned...
This paper introduces a hand tracking system in unconstrained environment. The system consists of two main stages which are initialization and tracking. In initialization, hand region is first detected by combining motion and skin color pixels. A region of interest (ROI) is then created around the detected hand region. In tracking stage, skin and motion pixels are scanned around top, left and right...
A blind color image steganalyzer is proposed, in which the features are extracted from Contourlet domain. Statistical features of Contourlet coefficients and cooccurrence metrics of subband images are used as features. For evaluating the proposed steganalysis method, some popular steganography methods such as OutGuess, JPHS, Model-based and Jsteg are used with payloads of 10% to 25%. To reduce the...
Image analysis is one of the common application fields in medical especially in cytology. Visual interpretation is the core for most medical diagnostic procedure. This process is tedious especially in the existence of overlapping cells therefore it is crucial to split the overlapping cells into single ones. This study proposes an overlapping cells separation method for separating the overlapping cells...
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