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A common phenomenon is encountered. It is that moving objects exist in images which need to stabilize in the course of the study that based on gray projection of algorithm (GPA) of the electronic image stabilization (EIS). In this case, gray projection algorithm is inadequate. This paper proposes a new method to improve the algorithm in order to solve the problem and the method is analyzed and verified...
Images captured under non-uniform lighting environment often suffer saturation and underexposure. We present a luminance rendition method based on visual adaption to make illumination compensation. A new pixel-by-pixel key value is constructed to represent the local visual characteristic. Based on the careful consideration of it, we propose a space-varying logarithm mapping function with adaptive...
In this paper, proposed a method of real-time facial expression recognition based on adaptive Canny operator edge detection. In this method, first used face location based on an adaptive skin color and structure model. Then, used facial expression feature extraction method based on adaptive Canny operator edge detection and AAM (Active Appearance Model) algorithm combined, which reduced the computational...
In this paper, propose a method of face detection based on adaptive skin color and structure model for multi-pose color images in a complex background. First, a face skin color model is built, and an adaptive Gamma correction is used in the skin color segmentation, which improve the skin color model to adapt to different illumination and multi-poses of face. Then a triangular structure model is constructed...
In a dynamic real-time facial expression recognition, accurate and fast face tracking is a very important preparatory work that is in order to obtain the image sequence of facial expressions. For this problem, we proposed a mean shift algorithm for real-time tracking human faces, and using this method we can obtain the facial expressions image sequence. In order to obtain the initial target of the...
In this study, a learning-based color image conversion method is proposed for cell image segmentation. Firstly, we demonstrate that minimum distance-based pixel classification, such as clustering, for color image segmentation in the color space is equivalent to thresholding grayscale images. Motivated by this result, we develop the so called C-G-T procedure for color image segmentation, where color...
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