Introduction - If you have any usage issues, please Google them yourself
In this work, a new approach to fully automatic color
image segmentation, called JSEG, is presented. First, colors
in the image are quantized to several representing
classes that can be used to differentiate regions in the
image. Then, image pixel colors are replaced by their corresponding
color class labels, thus forming a class-map of
the image. A criterion for “good” segmentation using this
class-map is proposed. Applying the criterion to local windows
in the class-map results in the “J-image”, in which
high and low values correspond to possible region boundaries
and region centers, respectively. A region growing
method is then used to segment the image based on the
multi-scale J-images. Experiments show that JSEG provides
good segmentation results on a variety of images.
[Segmentasi Citra Berwarna dengan Algoritma JSEG][113080058][113081110]\Paper Pendukung\Color Image Segmentation.pdf
.......................................................................\...............\Peer Group Filtering and Perceptual Color Image Quantization.pdf
.......................................................................\...............\Segmentasi Citra Berwarna.doc
.......................................................................\SEGMENTASI CITRA BERWARNA DENGAN ALGORITMA JSEG.docx
.......................................................................\SEGMENTASI CITRA BERWARNA DENGAN ALGORITMA JSEG.pptx
.......................................................................\Paper Pendukung
[Segmentasi Citra Berwarna dengan Algoritma JSEG][113080058][113081110]