|
Web
Education
Viewing 1-4 of 4 total results
Introduction to Image Segmentation with K-Means clustering ...
Image segmentation usually serves as the pre-processing before pattern recognition, feature extraction, and compression of the image. Image segmentation is the classification of an image into different groups. Many kinds of research have been done in the area of image segmentation using clustering....
K-means clustering based image segmentation - MATLAB ...
The color channels do not provide enough distinct information about the dog and the background to make a clean segmentation. featureSet = cat(3,I,gabormag,X,Y); Segment the image into two regions using k-means clustering with the supplemented feature set.
Image segmentation via K-means clustering with OpenCV ...
The previous post discussed the use of K-means clustering and different color spaces to isolate the numbers in Ishihara color blindness tests:. In the figure above, the original image on the left was converted to the YCrCb color space, after which K-means clustering was applied to the Cr channel to group the pixels into two clusters....
Color Image Segmentation Using a Spatial K-Means ...
dominant colors from the input image using the information from the color histograms. The main contribution of this work is the generalization of the K-Means algorithm that includes the primary features that describe the color smoothness and texture complexity in the process of pixel assignment. The resulting color segmentation...
|
