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Hand gesture recognition using a neural network shape fitting technique
E Stergiopoulou, N Papamarkos - Engineering Applications of Artificial …, 2009 - Elsevier
A new method for hand gesture recognition that is based on a hand gesture fitting procedure
via a new Self-Growing and Self-Organized Neural Gas (SGONG) network is proposed …
via a new Self-Growing and Self-Organized Neural Gas (SGONG) network is proposed …
Forty years of color quantization: a modern, algorithmic survey
ME Celebi - Artificial Intelligence Review, 2023 - Springer
Color quantization (cq), the reduction of the number of distinct colors in a given image with
minimal distortion, is a common image processing operation with various applications in …
minimal distortion, is a common image processing operation with various applications in …
Local adaptive receptive field self-organizing map for image color segmentation
ARF Araújo, DC Costa - Image and Vision Computing, 2009 - Elsevier
A new self-organizing map with variable topology is introduced for image segmentation. The
proposed network, called a Local Adaptive Receptive Field Self-organizing Map …
proposed network, called a Local Adaptive Receptive Field Self-organizing Map …
Self-organizing maps with a time-varying structure
A number of research studies considering a self-organizing map have been developed
since such a map was proposed by Kohonen [1982]. Some of these studies concern SOM …
since such a map was proposed by Kohonen [1982]. Some of these studies concern SOM …
Distinction between handwritten and machine-printed text based on the bag of visual words model
In a variety of documents, ranging from forms to archive documents and books with
annotations, machine printed and handwritten text may coexist in the same document …
annotations, machine printed and handwritten text may coexist in the same document …
The color quantization problem solved by swarm-based operations
ML Pérez-Delgado - Applied Intelligence, 2019 - Springer
The objective of the color quantization problem is to reduce the number of different colors of
an image, in order to obtain a new image as similar as possible to the original. This is a …
an image, in order to obtain a new image as similar as possible to the original. This is a …
Colour quantization with Ant-tree
ML Pérez-Delgado - Applied Soft Computing, 2015 - Elsevier
Ant-tree is a clustering algorithm inspired by biological ants. This paper defines a variant of
such algorithm to perform colour quantization. Some of the features of the basic Ant-tree …
such algorithm to perform colour quantization. Some of the features of the basic Ant-tree …
A two-stage method to improve the quality of quantized images
This article proposes a color quantization strategy that combines two color quantization
methods: Binary Splitting and Ant tree for Color Quantization. This solution combines a …
methods: Binary Splitting and Ant tree for Color Quantization. This solution combines a …
Co. vi. wo.: color visual words based on non-predefined size codebooks
Due to the rapid development of information technology and the continuously increasing
number of available multimedia data, the task of retrieving information based on visual …
number of available multimedia data, the task of retrieving information based on visual …
[HTML][HTML] Revisiting the iterative ant-tree for color quantization algorithm
ML Pérez-Delgado - Journal of Visual Communication and Image …, 2021 - Elsevier
Abstract The Iterative Ant-tree for color quantization algorithm has recently been proposed to
reduce the colors of an image at a low computational cost. It is a clustering-based method …
reduce the colors of an image at a low computational cost. It is a clustering-based method …