jImageSeg is a Java-based tool for the supervised and unsupervised image segmentation. The segmentation approaches currently include the principle components analysis (PCA), sliced inverse regression (SIR) and the SIR-related methods. More segmentation techniques and the basic image processing procedures will be added in the future. The feature extraction can be performed in three domains: the space blocks, the Fourier transformation and the Gabor filter banks. The segmented image is displayed by superimposing the resulting boundaries on the input image. [Suspended Work]

                    圖例中為胸部超音波影像, 以PCA 做出來的分割結果。