Unsupervised segmentation of textured images using a hierarchical neural structure - Electronics Letters
نویسنده
چکیده
(ii) Use of multiplier blocks can drastically change the complexity relations between different structures. Despite using almost twice the wordlength, and many more coefficients (corresponding to having almost 2.5 times the complexity using the C, measure), the direct forms require similar numbers of adders to the waveform. Similarly, but less dramatically, the cascade and parallel forms are significantly better than wave whereas the C, measure indicates they should be inferior. The wave filter loses out on two counts. Apart from the isolation of its coefficients, which prohibits the use of multiplier blocks, the wave structure has a much larger number of structural adders, which were not counted towards complexity in the C, measure.
منابع مشابه
Scale-dependent hierarchical unsupervised segmentation of textured images
This paper presents a new three-staged texture-based segmentation method that, using multiresolution techniques, provides high computational speed. The main novelty of the approach is that spatial proximity has a progressively decreasing importance on lower resolution levels when hierarchically segmenting the data structure. The method achieves low error rates and it does not require any knowle...
متن کاملPerformance Analysis of Segmentation of Hyperspectral Images Based on Color Image Segmentation
Image segmentation is a fundamental approach in the field of image processing and based on user’s application .This paper propose an original and simple segmentation strategy based on the EM approach that resolves many informatics problems about hyperspectral images which are observed by airborne sensors. In a first step, to simplify the input color textured image into a color image without tex...
متن کاملTraffic Scene Analysis using Hierarchical Sparse Topical Coding
Analyzing motion patterns in traffic videos can be exploited directly to generate high-level descriptions of the video contents. Such descriptions may further be employed in different traffic applications such as traffic phase detection and abnormal event detection. One of the most recent and successful unsupervised methods for complex traffic scene analysis is based on topic models. In this pa...
متن کاملUnsupervised texture segmentation/classification using 2-D autoregressive modeling and the stochastic expectation-maximization algorithm
The problem of textured image segmentation upon an unsupervised scheme is addressed. In the past two decades, there has been much interest in segmenting images involving complex random or structural texture patterns. However, most unsupervised segmentation techniques generally suffer from the lack of information about the correct number of texture classes. Therefore, this number is often assume...
متن کاملAn Automated MR Image Segmentation System Using Multi-layer Perceptron Neural Network
Background: Brain tissue segmentation for delineation of 3D anatomical structures from magnetic resonance (MR) images can be used for neuro-degenerative disorders, characterizing morphological differences between subjects based on volumetric analysis of gray matter (GM), white matter (WM) and cerebrospinal fluid (CSF), but only if the obtained segmentation results are correct. Due to image arti...
متن کامل