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Grabcut is an Interactive segmentation algorithm, which is employed to extract the foreground of an image, but it works wrong frequently when the pixels around the foreground are similar to the pixels of the background. We advance a new cost function to correct the mistake after we analyze the reason why it works wrong. Experimental results show that the new cost function outperforms the original...
Comparison of image segmentation techniques based on the number of dominant colors and clusters is presented. Tensor Voting, Expectation Maximization algorithm, K-Means Algorithm and Mean Shift Algorithm are considered. The image segmentation results are analyzed with constant and varying number of clusters for all algorithms. Finally the performance of all algorithms under Gaussian noise is also...
Tone mapping (TM) algorithms reproduce the high dynamic range (HDR) images on low dynamic range (LDR) display devices such as monitors or printers. In this paper, we propose a local TM algorithm, in which the input HDR is segmented using K-means algorithm and a display gamma parameter is set automatically for each segmented region. The proposed TM algorithm computes the luminance of an input that...
We propose a gradient estimation algorithm in a color filter array (CFA) image and apply it to demosaicing. Using directly computed ones, the proposed method estimates gradients, which cannot be computed directly from the CFA image. The proposed gradient estimation method is simple, improving the performance of existing demosaicing methods.
This paper addresses color correction of the panoramic image for mobile multimedia devices. To compensate the visible color difference caused by defects of optical systems near a seam which is a connected path of low energy pixels between images, we propose an adaptive blending algorithm based on the human visual system. In the proposed algorithm, a blending range is adjusted according to the color...
This paper addresses the problem of interpolating missing color components at the output of a Bayer color filter array (CFA), a process known as demosaicking. A luma-chroma demultiplexing algorithm is presented in detail, using a least-squares design methodology for the required bandpass filters. A systematic study of objective demosaicking performance and system complexity is carried out, and several...
Shadows arise when objects completely or somewhat occlude direct light from a source of illumination. This method is based on Tri color attenuation model (TAM). The proposed approach is based on shadow properties and exploits color information. Shadow is treated as a extraordinary kind of image degradation. Shadow area generally has lower brightness than non-shadow region. Based on TAM a shadow detection...
When mosaicking two adjacent orthophotos, the transition from one orthophoto to the other is cannot be seen. The requirements of such an optimal seamline include high color similarity and high texture similarity. In this paper, a novel method integrated snakes and bresenham is presented. The calculation of photometric energy in the snake model considers not only the discrete points, but all the points...
The several different demosaicing or color interpolation methods are available to obtain the original image captured with a CFA (Color Filter Array). Use of any of these available methods need to be supported by an effectiveness measure of the algorithms for it to be useful. This paper proposes a fuzzy based measure to establish similarity measure for Color Interpolation algorithms. This similarity...
This paper presents an optimized normalized cut method for segmentation of RBCs infected with malarial parasites using peripheral blood smears. The algorithm is applied over various color spaces to find its optimal performance for microscopic blood smear images. We tested the efficacy of results in RGB, YCbCr, HSV and NTSC using the Rand's Index. The work is useful in telepathology applications and...
This paper develops a hardware-efficient color segmentation algorithm that is especially suitable to implement on hardware for face detection. Since the modulized design is adopted in the proposed algorithm without floating-point operation, the computational cost is directly reduced for hardware design. The proposed algorithm consists of a color space modeling module and a feature enhancement module...
Blood cell segmentation is a crucial part of many medical and laboratory procedures such as cell counting and blood cell disorder diagnosis. Among different types of blood cells, white blood cells are the most important clinically, as they suffer greatest from blood disorders. In this paper we propose a method for automatic segmentation of white blood cells nucleus. A distinctive function is used...
RGB color signals encoding is more desirable for high resolution and accurate definition for saturations and hue. This paper presents a region adaptive inter-color prediction scheme for 4:4:4 RGB signals, which treats G component as a primary component and predicts B/R component from G component with different weighting factors based on different texture regions. The proposed algorithm demonstrates...
This paper proposes an improved color Set Partitioning in Hierarchical Trees (CSPIHT) algorithm based on multiwavelet. In the proposed image coding algorithm, color RGB image is converted into YCbCr format. Clearly, coding bit stream luminance Y plane is higher than Cb and Cr chrominance planes. The new spatial orientation tree structure is developed between channel planes based on SPIHT coding idea...
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...
Color constancy (CC) or white balance (WB) is an important image processing step in digital camera and machine vision. This paper presents a robust computational algorithm that offers an accurate solution for CC. The proposed CC measure exploits the scanning strategy of RGB channel gain adjustment. In addition, the suppressing mechanism of grayscale pixel maximization (GPM) is used to locate potential...
In the Content-base animation Image Retrieval System, the Opponent Color Local Binary Pattern (OCLBP) algorithm is a typical multi-feature extraction solution, but it has the problems of high dimension of feature and complexity computational. For the defect of Opponent Color Local Binary Patterns, this dissertation presents a new Color-texture feature extraction method. By using the Local Binary Patterns...
Based on the analysis of Maxwell color triangle, a segmentation algorithm for traffic sign is presented. An characteristic segmentation formula is proposed for the red, yellow and blue traffic signs, and the criteria is presented to confirm the range of threshold group through a number of experiments. Accordingly, the traffic sign is segmented by region growth with maximum and minimum threshold group...
This paper proposes a model for detecting fire captured in video data by combining the methods of correlation coefficient, Gaussian Mixture Model - GMM and turbulent analysis. The method of correlation efficient is used to determine movement objects. We use GMM to cluster fire-colored pixel in the RGB space. The objective of turbulent analysis is to detect the flame of fire. A model built on three...
A method for the traffic signal recognition of his color space and bp neural network algorithm. First convert the traffic signal images from RGB space to HSI space, and then extracted H Component characteristics from HSI space in the traffic signal images, according to the Component histogram, determine the signal color. Finally, BP neural network is applied for the traffic signal lights recognition...
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