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This paper suggests an improved segmentation of remote sensing images based on watershed algorithm to reduce the over-segmentation of the watershed transform. Taking into the characteristics of remote sensing, remote sensing images were filtered using a fast peer group filtering (PGF). Then do watershed transform on the multi-scale morphological gradient image and merge regions by grey similarity...
The algorithm based on local binary pattern algorithm, direct linear discriminant analysis and waterlet transform can extract the multi-scale feature of the human ear image. The irrelevant of the gray scale integer transform and the local texture feature extracting performance make the local binary pattern algorithm have great advantage in ear image feature extraction. The two dimension waterlet transform...
In this paper, a new algorithm is proposed to segment medical images to extract the contour of the objects. First, do edge segmentation to the image region with Prewitt operator. And then use Hough transformation to detect the incontinuous points in curve and link the edges. An accurate edge of the organ or tissue of human can be extracted through this method. Based on this, more information can be...
In this paper we propose a novel steganographic method for hiding information within the spatial domain of the gray scale image. The proposed approach works by dividing the cover into blocks of equal sizes and then embeds the message in the edge of the block depending on the number of ones in left four bits of the pixel. Our experimental results have shown that the proposed method not only has an...
Eye state analysis is critical step in diverse applications including gaze detection for human-machine interfaces, face alignment for automatic face recognition systems and drowsiness detection for intelligent vehicle systems. In this paper, we propose a robust and novel algorithm for eye state analysis using iris detection based on Circular Hough Transform (CHT). This new algorithm requires no training...
In this paper, we present a novel method for segmenting ore images specifically for estimating the size distribution of ore material on conveyer belt. The segmentation system uses the mean shift and watershed algorithm. The mean shift algorithm is used to identify pixel clusters of particular modes of the probability density function of the image data. The pixel clusters are then used to generate...
Steganography deals with hiding of data in images and steganalysis reveals the presence of data and also the data. In this paper, we propose a steganography technique that is based on randomizing the sequence of cipher bits. We compute the suitability measure of the various random sequences of the cipher bits against a given image and select the random sequence closest to the image. We generate these...
Motion Estimation is the most complex part in H.264 encoder which takes more than 90% time in baseline profile while making test encoding using JM15.1. In the motion estimation stage, macro block cost calculation is very important for motion vector prediction and bit stream estimation. As a new characteristic introduced in H.264, Fractional ME is an essential part for improving encoder efficiency...
There are different methods to interpolate a zoomed image such as nearest neighbor, bilinear, bicubic, adaptive interpolation and so on. These methods works on grayscale value of pixels so we name them pixel based methods. In this paper, we propose a line based method. In this method, an improved scheme of radon transform is used to convert image from dot domain into line domain. In the line domain,...
In order to overcome the lacking of Shift invariance in Contourlet Transform, enable the image fusion to be in accord with human vision properties, Nonsubsampled Contourlet Transform (NSCT) and Pulse Coupled Neural Networks(PCNN) were used jointly in image fusion algorithms. Original images were decomposed to get the coefficients of low frequency sub bands and high frequency sub bands. The coefficients...
Microscopy cell image analysis is a fundamental tool for biological research. This analysis is used in studies of different aspects of cell cultures. The main challenges in segmenting nuclei in histometry are due to the fact that the specimen is a 2-D section of a 3-D tissue sample. The 2-D sectioning can result in partially imaged nuclei, sectioning of nuclei at odd angles, and damage due to the...
We present a novel technique implementing barehanded interaction with virtual 3D content by employing a time-of-flight camera. The system improves on existing 3D multi-touch systems by working regardless of lighting conditions and supplying a working volume large enough for multiple users. Previous systems were limited either by environmental requirements, working volume, or computational resources...
This paper is focus on the analysis of the ability of iris segmentation method to process images with heterogeneous characteristics, simulating the dynamics of a non-cooperative environment. Aimed to improve the performance of iris segmentation method in non-cooperative environment, the authors introduce a new method. According to the different characteristics of the inner border and outer border...
A system employing entropy reduction on layout data to manage and track physical intellectual property (IP) is presented. Using a combination of symbolic encoding, canonical reduction, lossless compression and cryptographic hash functions, this system provides an efficient, scalable, robust and extensible method for tracking geometrical layout from design through manufacturing and into production...
In this paper, successfully we had implemented Fant's resampling algorithm by using cubic convolution for resampling the images that consists two passes. It does not exhibit the aliasing artifacts associated with techniques for spatial transform of discrete sampled images is possible through the use of a complete and continuous resampling interpolation algorithm. Applications to image processing include...
Image morphing has received much attention in recent years. It mainly involves feature specification, geometric transformation and color blending. Here, a novel calculation method of image morphing is proposed. First, a novel coordinate system called triangle coordinate system is defined, which has a great advantage in geometric transformation. Second, corresponding feature points on images are marked...
Everyday medical is capturing thousands of images which need to be classified in a proper way. In this paper, we address the problem of replacing the existing images with the captured one. We provide a new solution by storing only the nonexisting part of the image. Though medical images have been classified in past by using various techniques, the researchers are always finding alternative strategies...
We present a new registration method for whole-body rat computed tomography (CT) image and positron emission tomography (PET) images using a weighted demons algorithm. The CT and PET images are acquired in separate scanners at different times and the inherent differences in the imaging protocols produced significant nonrigid changes between the two acquisitions in addition to heterogeneous image characteristics...
Existing facial expression recognition techniques analyze the spatial and temporal information for every single frame in a human emotion video. On the contrary, we create the Emotion Avatar Image (EAI) as a single good representation for each video or image sequence for emotion recognition. In this paper, we adopt the recently introduced SIFT flow algorithm to register every frame with respect to...
Investigating multi-feature information-theoretic image registration, we introduce consistent and asymptotically unbiased kth-nearest neighbor (kNN) estimators of mutual information (MI), normalized MI and exclusive information applicable to high-dimensional random variables, and derive under closed-form their gradient flows over finite- and infinite-dimensional transform spaces. Using these results,...
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