THE APPLICATION OF SUPPORT VECTOR MACHINE (SVM) USING CIELAB COLOR MODEL, COLOR INTENSITY AND COLOR CONSTANCY AS FEATURES FOR ORTHO IMAGE CLASSIFICATION OF BENTHIC HABITATS IN HINATUAN, SURIGAO DEL SUR, PHILIPPINES

a) For each range block one determines the coordinates (xd, yd), of the best matched domain, from the IFS parameters (posI), in order to extract the domain block (d) from

In general the face recognition system consists of (i) Preprocessing unit: In which the color image may be converted into gray scale image, the image may be resized to

The proposed conversion was tested using an original color image to get the gray image and without applying any processing we got the color image using inverse

In the test, the algorithm with more false color artifact in the blue channel of the image was the Nearest Neighbor, with an index of 12,555; this algorithm has false color

Then, in Experiment 2, we examine the contrast changes in features across color and luminance channels before and after an application of cosmetics, to test whether

The algorithm encryption and decryption of an image transform an image into cipher code using the random keys, which allow users to have confidentiality and security in

Initial search based on a query image and the selection of a representative group of images are realized by using three types low level features: color, texture and shape..

show that the image categorization using the adapted color charts improves the analysis of relevant image information with regard to both image gradation and