A Modified Algorithm for a Density-based Clustering Method
Ze-Lu Deng, Jianbin Gao, Qi Xia · DEStech Transactions on Computer Science and Engineering · 2017
We develop a fast algorithm for a density-based clustering method [1] when it is applied to gray image segmentation. To achieve this, we rely on the property that a gray image has no more than 256 gray levels. This will help us reduce the computing time by a factor of 300 while still keep the performance.