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Una aplicación de la técnica multiedit-condensing a la segmentación de escenas naturales en color.

Francisco Ferri Rabasa, Enrique Vidal Ruiz (1991)

Qüestiió

Se presenta una adaptación de la técnica Multiedit-Condensing (MC) recientemente aplicada a algunos problemas en Reconocimiento de Formas, a un problema de segmentación de imágenes que se encuadra dentro del marco general del Análisis de Imagen en Robótica. Se presenta una revisión de los fundamentos de dicha técnica y se justifica su uso para la solución del problema propuesto. Dicho problema consiste básicamente en la separación de las distintas zonas de interés en una imagen, según su color y...

Visual anomaly detection via soft computing: a prototype application at NASA.

Jesús A. Domínguez, Steven J. Klinko (2003)

Mathware and Soft Computing

A visual system prototype that detects anomalies or defects in real time under normal lighting operating conditions was built for NASA at the Kennedy Space Center (KSC). The system prototype is basically a learning machine that integrates the three elements of soft computing, Fuzzy Logic (FL), Artificial Neural Network (ANN), and Genetic Algorithm (GA) schemes to process the image, run the learning process, and finally detect the anomalies or defects. The system acquires the image, performs segmentation...

Wildfires identification: Semantic segmentation using support vector machine classifier

Pecha, Marek, Langford, Zachary, Horák, David, Tran Mills, Richard (2023)

Programs and Algorithms of Numerical Mathematics

This paper deals with wildfire identification in the Alaska regions as a semantic segmentation task using support vector machine classifiers. Instead of colour information represented by means of BGR channels, we proceed with a normalized reflectance over 152 days so that such time series is assigned to each pixel. We compare models associated with 𝓁 1 -loss and 𝓁 2 -loss functions and stopping criteria based on a projected gradient and duality gap in the presented benchmarks.

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