This paper proposes a feedforward neural network structure to realize the mathematical morphology operations (MMO), namely: HMT (Hit and Miss Transformation), dilation, erosion, opening, closing, and the union and int...
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ISBN:
(纸本)0819415472
This paper proposes a feedforward neural network structure to realize the mathematical morphology operations (MMO), namely: HMT (Hit and Miss Transformation), dilation, erosion, opening, closing, and the union and intersection (for multistructuring elements and multioperators) of them. Different kinds of operations can be implemented by assigning the weights, the threshold values and the architecture of the network according to the operation itself to be implemented. A general expression relating the weight value, threshold value to the configuration of the structuring element for different operations is derived, the assigning of the values becomes merely straight-forward training procedure of the proposed network. Also, it is proved that with a single hidden layer, all the MMO can be implemented by the ANN. The most interesting aspect of the method proposed is the reduction of on-line operation steps, which for conventional MMO algorithm consist of a series of operations processed consecutively. As a extension of the method, Boolean function implementations of the operations are also proposed, in which, the concept of collection of basic `And' structuring elements is presented. We prove that all MMO sequence can be implemented by a 2-layer logic gate array (or 3 layers in the sense of node levels).
Over the past several years we have been interested in the supervised classification of ultrasonic images of the liver based on quantitative texture features. Our most recent efforts are concerned with the inclusion o...
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ISBN:
(纸本)0819415472
Over the past several years we have been interested in the supervised classification of ultrasonic images of the liver based on quantitative texture features. Our most recent efforts are concerned with the inclusion of features computed from Markov random fields. After adding four such features to our existing model containing 17 features, we employed stepwise discriminant analysis to identify the features that could best discriminate among 184 previously classified normal and abnormal ultrasonic images. Three of the four features derived from Markov random field models were identified by stepwise discriminant analysis as being good discrimination along with 6 existing features. From these results we constructed a backpropagation neural network with an input layer consisting of 9 nodes. We found that this new model yielded slightly better results when compared to earlier models. Our most recent results yielded a sensitivity of 81%, a specificity of 77% and an overall accuracy of 79%.
In this work we present a new methodology for describing the functioning of artificial neurons, including new, as yet untested, types of behaviour. It also provides the possibility of defining artificial neurons of an...
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ISBN:
(纸本)078031901X
In this work we present a new methodology for describing the functioning of artificial neurons, including new, as yet untested, types of behaviour. It also provides the possibility of defining artificial neurons of any order, not only first and second, and a wide range of functions from which to choose. As illustration of the new formulation, a practical realization is analyzed, consisting of a multilayered neural network applied to the imageprocessing of black and white scenes, making manifest the possibilities of this new type of neuron in the field of cellular logic but with new types of processing. This is just an early stage in the development of the new neurons, so that many of their possible applications have yet to be initiated. Among them, one can already foresee those related to fuzzy models, analogue models, and many others. Now, for these applications, it will no longer be necessary to make any change in the network design, but just to make a choice from the proposed library of functions.
The proceedings contains 134 papers on the various applications of artificialneuralnetworks. Some of the topics discussed are the application of such networks to: biomedical engineering, telecommunication systems, f...
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ISBN:
(纸本)078031901X
The proceedings contains 134 papers on the various applications of artificialneuralnetworks. Some of the topics discussed are the application of such networks to: biomedical engineering, telecommunication systems, financial and administrative data processing, electric power systems, industrial manufacturing, character recognition, optimization problems, signal filtering, imageprocessing, computer vision and parallel processing architectures.
This paper summarizes a research effort in finding the locations and sizes of faces in color images (photographs, video stills, etc.) if, in fact, faces are presented. Scenarios for using such a system include serving...
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ISBN:
(纸本)0819415472
This paper summarizes a research effort in finding the locations and sizes of faces in color images (photographs, video stills, etc.) if, in fact, faces are presented. Scenarios for using such a system include serving as the means of localizing skin for automatic color balancing during photo processing or it could be used as a front-end in a customs port of energy context for a system which identified persona non grata given a database of known faces. The approach presented here is a hybrid system including: a neural pre-processor, some conventional imageprocessing steps, and a neural classifier as the final face/non-face discriminator. Neither the training (containing 17,655 faces) nor the test (containing 1829 faces) imagery databases were constrained in their content or quality. The results for the pilot system are reported along with a discussion for improving the current system.
A straightforward method for implementing a neural Network (NN) solution in the field of imageprocessing, for attitude and position determination, is presented in this paper. The proposed evolutive training algorithm...
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ISBN:
(纸本)078031901X
A straightforward method for implementing a neural Network (NN) solution in the field of imageprocessing, for attitude and position determination, is presented in this paper. The proposed evolutive training algorithm is capable of setting the appropriate dimension of the neural network and the adequate weights interconnecting the neurons. The recommended solution is based on simulation results.
The proceedings contains 109 papers on the various applications of neuralnetworks. Some of the topics discussed are: imageprocessing, pattern recognition, feature extraction, learning systems, artificial intelligenc...
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ISBN:
(纸本)078031901X
The proceedings contains 109 papers on the various applications of neuralnetworks. Some of the topics discussed are: imageprocessing, pattern recognition, feature extraction, learning systems, artificial intelligence, speech processing and recognition, optimization problems, electric load management for power systems and algorithms.
Researchers have for many years tried to develop machine recognition systems using video images of the human face as the input, with limited success. This paper presents a technique for recognizing individuals based o...
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ISBN:
(纸本)0819415472
Researchers have for many years tried to develop machine recognition systems using video images of the human face as the input, with limited success. This paper presents a technique for recognizing individuals based on facial features using a novel multi-layer neural network architecture called `PWRNET'. We envision a real-time version of this technique to be used for high security applications. Two systems are proposed. One involves taking a grayscale video image and using it directly, the other involves decomposing the grayscale image into a series of binary images using the isodensity regions of the image. Isodensity regions are the areas within an image where the intensity is within a certain range. The binary image is produced by setting the pixels inside this intensity range to one, and the rest of the pixels in the image to zero. Features based on moments are subsequently extracted from these grayscale images. These features are then used for classification of the image. The classification is accomplished using an artificialneural network called `PWRNET', which produces a polynomial expression of the trained network. There is one neural network for each individual to be identified, with an output value which is either positive or negative identification. A detailed development of the design is presented, and identification for small population of individuals is presented. It is shown that the system is effective for variations in both scale and translation, which are considered to be reasonable variations for this type of facial identification.
The Naval Air Warfare Center, China Lake has developed a real time, hardware and software system designed to implement and evaluate biologically inspired retinal and cortical models. The hardware is based on the Adapt...
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ISBN:
(纸本)0819415472
The Naval Air Warfare Center, China Lake has developed a real time, hardware and software system designed to implement and evaluate biologically inspired retinal and cortical models. The hardware is based on the Adaptive Solutions Inc. massively parallel CNAPS system COHO boards. Each COHO board is a standard size 6U VME card featuring 256 fixed point, RISC processors running at 20 MHz in a SIMD configuration. Each COHO board has a Companion board built to support a real time VSB interface to an imaging seeker, a NTSC camera and to other COHO boards. The system is designed to have multiple SIMD machines each performing different Corticomorphic functions. The system level software has been developed which allows a high level description of Corticomorphic structures to be translated into the native microcode of the CNAPS chips. Corticomorphic structures are those neural structures with a form similar to that of the retina, the lateral geniculate nucleus or the visual cortex. This real time hardware system is designed to be shrunk into a volume compatible with air launched tactical missiles. Initial versions of the software and hardware have been completed and are in the early stages of integration with a missile seeker.
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