This paper presents a novel cell classification method based on image retrieval by learning with kernel. Cell image is firstly segmented into cytoplasm and nucleus regions in order to keep more spatial information. RGB color histogram of cell and two intensity histograms corresponding to those local regions compose feature vector represents the cell image. Kernel principal component analysis (K...

The goal of image segmentation in imaging science is to solve the problem of partitioning an image into smaller disjoint homogeneous regions that share similar attributes. The novel technique of the multiphase level set based on principal component analysis (PCA) with adaptively selecting dominant factors for color image segmentation in color spaces is studied here. And simultaneously, the fina...

A study is made to detect human eye from a color face image (in RGB space) using Harris corner detector and Sobel edge operator. Morphological operation like dilation and erosion are also applied to make the edge of the eyes sharp and prominent. This study is found to yield 90.47% eye detection rate which is comparable with the same obtained by other standard algorithm. Keywords-RGB color image...

In this paper, we propose a system to achieve Augmented Reality (AR) on a smartphone. In this system, we assume a fixed RGB-D camera connected to a server is installed in the environment, and perform AR based on the 3D environment shape got by the RGB-D camera in real-time. On the smartphone side, it sends the image captured by its camera, and receives the output image processed to perform AR b...

• A contrast-optimization approach was proposed for plant segmentation of color images. Contrast-enhanced images were compared with index using five image datasets. The method consistently enhanced contrast and accuracy. None nine common indices robust enough to varying conditions. Plant is a crucial task in computer vision applications identification/classification quantification phenotypic fe...

To display high bit resolution images on low bit resolution displays, bit resolution needs to be reduced. Towards achieving a reduced bit rates and high compression gain, an enhanced method for compression of various color images are presented, which is based on hierarchical prediction and adaptive coding. An RGB image is first transformed to YCbCr by a reversible color transform and a various ...

In order to improve the image quality in fog, this paper presents a fog-image enhancement algorithm based on adaptive guided image filter Retinex theory. Firstly convert the image from the RGB color space to the HSV color space, Then, the luminance image is estimated by adaptive guided image filter, the saturation image is linearly stretched. Finally, the image is transformed back from HSV colo...

In this paper a new approach for RGB image encryption is based on a blend of 2D chaotic maps. Chaotic Henon map, chaotic Burger map and chaotic Gingerbreadman map is used in order to meet up the requirements of the protected image transmission. The proposed image encryption scheme is composed of two Transformation processes and two substitution processes. Different statistical methods, such as ...