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Image segmentation denotes a process by which an image is partitioned into non-intersecting regions and each region is homogeneous. Many approaches have been proposed for the color image segmentation. Among these approaches, the clustering methods have been extensively investigated and used. Fuzzy C-Means has been used in image segmentation widely. However, it is not good for the image with noise...
Foreground object extraction, which aims to accurately separate a foreground object from its background in still images, plays an important role in many computer vision applications. An interactive object extraction method by extending the graph cut approach is presented in this paper. The coarse-to-fine object segmentation method makes it efficiently to specify the main object and adjust the detail...
In this paper, based on the Xilinx XUP V5-LX110T board, a video post processing platform with a professional HDMI interface circuitry is designed and a novel de-interlacing algorithm is designed, which performs better than the industry leading algorithms as experimental results show. This platform is to verify our HD video post processing SOC chip which is under development.
Large scale retrieval of handwritten documents has primarily been focused around searching a query text in the OCR'ed transcription of the document images, which provides a limited view of the complete search process. Recent research advances have led to a number of content based retrieval techniques which expand the search scope to document content level (i.e. image features, meta-information). Based...
Spike based imagers commonly use either time-to-first spike (TTFS) or spike rate encoding exclusively. In this paper we discuss the benefits of using a mixed-mode encoding scheme backed by theoretical analysis and SPICE simulations. The mixed-mode readout uses both TTFS and spike rate information to estimate the illumination for each pixel, which lessens the maximum spike rate and timing clock speeds...
The problem of image registration is to find the best set of parameters of an affine transformation, which applied to a given image yields the closest match to a target image (possibly with noise). We present a method to perform parametric image registration based on Differential Evolution. Besides using Differential Evolution, we propose to use an error function robust enough to discard misleading...
Segmentation of skin color is crucial in the pre-processing stage of many image processing applications such as face detection, face recognition, body gesture, body gait analysis, etc. Traditionally, skin color segmentation is performed in local computing environment with sufficient computational power to handle this easy task. With the emergence of numerous computing applications in mobile devices...
Based on isosceles triangle segmentation, a new approach of color image compression has been proposed by using correlation among RGB components and fractal image compression algorithm in this paper. The encoding process in this paper is composed of two steps: transforming color image into gray-level image according to correlation among RGB and compressing fractal image based on isosceles triangle...
Data/image compression is a significant application of linear algebra. The need to minimize the amount of digital information stored and transmitted is an ever growing concern in the modern world. Singular Value Decomposition (SVD) is an effective tool for minimizing data storage and data transfer. The proposed work explores image compression through the use of SVD on image matrices. The performance...
Current video and image systems are typically of limited use in poor visibility conditions such as in poor illumination, rain, fog, smoke, and haze. These conditions severely limit the range and effectiveness of imaging systems because of the severe reduction in contrast. The contrast of any image is a very important characteristic which decides the quality of image. Our chief goal in this paper is...
This paper considers a digital watermarking based on the modification of color image pixels, and proposes an improving method to improve its performance. Conceptually, in the watermark embedding process, an image averaging technique is considered and used to reduce the variation of pixel values, while in the watermark retrieval process, an tuning technique is implemented in the original pixel prediction...
We propose a robust background subtraction method for multi-view images, which is essential for realizing free viewpoint video where an accurate 3D model is required. Most of the conventional methods determine background using only visual information from a single camera image, and the precise silhouette cannot be obtained. Our method employs an approach of integrating multi-view images taken by multiple...
Transmission of compressed video over unreliable networks is vulnerable to errors and error propagation. Multi-hypothesis motion compensated prediction (MHMCP) which was originally developed to improve compression efficiency has been shown to have a good error resilience property. In this paper we improve the overall performance of MHMCP in packet loss scenarios by performing optimal mode switching...
A typical consumer digital camera uses a Color Filter Array (CFA) to sense only one color component per image pixel. The original three-color image is reconstructed by interpolating the missing color components. This interpolation process (known as demosaicing) corresponds to solving an under-determined system of linear equations. In this paper, we show that by replacing the traditional CFA with a...
Image matching is one of the key steps in Processing of InSAR. In order to improve the reliability and the rate of matching, a fast least squares matching algorithm with one-dimensional azimuth searching was proposed. The interferometric SAR images obtained by space-borne ERS-1/2 and by airborne dual-antenna system were employed to do experiments of matching. The results show that the proposed one-dimensional...
This paper aims to explore the zero-crossing edge detection method based on the scale-space theory. After the one-dimensional signal and two-dimensional image are convolved with the second derivation of the Gaussian kernel respectively, the zero-crossing method is applied to And the zero-crossings of the second derivation. These points are located and then construct the edge of the signal or the image...
Particle Swarm Optimization (PSO) algorithm has been widely recognized as an efficient algorithm with applicability is many areas. Recently, we proposed the Guided Particle Swarm Optimization (GPSO) algorithm, which is a modification to PSO designed for facial emotion detection. GPSO involves keeping track of relevant points, called Action Units (AUs), which are specified on the face of a subject...
Partial cloud cover is a severe problem in the optical remote sensing images, it seriously affected the interpretation and the use of remote sensing images. So how to remove or to reduce haze region from remote sensing images, and how to restore the ground information below thin cloud regions, will become the essential part in improving the availability of the applications of remote sensing images...
Dynamic environment lighting has been increasing in real-time graphics applications, such as 3D games and virtual environment applications because of its better realism compared to the traditional lights. However, rendering under dynamic environment lighting is sophisticated due to a complex hemispherical space integral operation. Spherical harmonics are used to illuminate diffuse surface in real-time...
A method operating at an outdoor swimming pool is presented in this paper. In a swimming pool, one key problem we faced is that the SNR (signal to noise ratio) will be lower than general surroundings such as bubbles, shadow, water waves, and lower contrast. In order to eliminate noise and preserve the edge and texture detail in the image that we obtained, we select the wavelet denoising algorithm...
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