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Image segmentation is one of the important tasks in image processing. The paper presents a simple and efficient method for segmentation of color images. Segmentation is performed for CIELab and HSV color spaces. The paper presents an integrated approach which uses edge detection and region growing for segmentation of color image. The proposed method involves automatic seed selection based on edge...
Generally, 2-D DCT/IDCT (Two dimensional discrete cosine transform and its inverse) are widely used in many image processing systems. In this paper, efficient architectures are proposed. These architectures have parallel and pipelined structures which are used to implement 8×8 DCT/IDCT processors. These processors involve two 8-point DCT/IDCT processors along with a dual-bank of SRAM (128 words) and...
Object tracking is a significant process used in many application areas. This paper presents a color based particle filter algorithm used for object tracking in video sequences for CIELab and HSV color space. Initial state of particles represents the position of pixels in the object to be tracked. The initial state is updated and weights are assigned to the particles depending on the value of the...
Visual tracking is a very challenging task in real life applications because of the instability in illuminations. An illumination or brightness variation is the significant issue in the tracking of object of interest. A satisfying method is proposed in this paper to correct the non uniformity in illumination. In this method discrete cosine transformation (DCT) is used to normalize the variations in...
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