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MODEL FOR LAND COVER ESTIMATION USING UNSUPERVISED MACHINE LEARNING ON GOOGLE MAPS COLOR IMAGES
Unsupervised learning algorithms CORINE nomenclature Google Static Maps API k-means clustering
2019/2/27
Remote sensing data and satellite images are broadly used for land cover information. There are so many challenges to classify pixels on the basis of features and characteristics. Generally it is pixe...
The task of object recognition involves classifying extracted objects, given a collection of extracted objects, each belonging to a predefined class. Inherently, object recognition from imagery is an ...
A mathematical method for embedding bar code in color images was proposed. First of all, original color image was transformed into 2D FFT space, and the bar code was superimposed on the transformed co...
Spatial Histogram Features for Face Detection in Color Images
Spatial Histogram Features Face Detection in Color Images
2010/12/14
This paper presents a novel face detection approach in color images. We employ spatial histograms as robust features for face detection. The spatial histograms consist of marginal distribution of colo...
Rotated Face Detection In Color Images Using Radial Template
Rotated Face Detection Color Images Radial Template
2010/12/14
In this paper, we propose a face detection algorithm to locate faces rotated in any orientation. Detecting rotated
faces is important for a face detection system. First we present a novel model named...