[1] N Chehata, C Orny, S Boukir. Object-based change detection in wind storm-damaged forest using high-resolution multispectral images. International Journal of Remote Sensing, 35, 4758-4777(2014).
[3] HY Wang, Y Y Liang, Z H Wang. Otsu image threshold segmentation method based on new genetic algorithm, 38, 364-367(2014).
[4] X Y Deng, Y D Ma. PCNN model analysis and its automatic parameters determination in image segmentation and edge detection. Chinese Journal of Electronics, 23, 97-103(2014).
[5] X F Ren, C C Fowlkes, J Malik. Learning probabilistic models for contour completion in natural images. International Journal of Computer Vision, 77, 47-63(2007).
[6] C Wang, Y Wang, Y Li. Automatic choroidal layer segmentation using markov random field and level set method. IEEE Journal of Biomedical and Health Informatics, 21, 1694-1702(2017).
[7] A Pablo, H Barath, C GU. Semantic segmentation using regions and parts, 1, 3378-3385(2012).
[8] T SU. Efficient paddy field mapping using landsat-8 imagery and object-based image analysis based on advanced fractel net evolution approach. GIScience & Remote Sensing, 54, 354-380(2017).
[9] M S Chaibou, P H Conze, K Kalti. Adaptive strategy for superpixel-based region-growing image segmentation. Journal of Electronic Imaging, 26, 1-24(2018).
[10] T Lei, X Jia, Y Zhang. Superpixel-based fast fuzzy c-means clustering for color image segmentation. IEEE Transactions on Fuzzy Systems, 27, 1753-1766(2019).
[12] T G Liu, Q G Miao, K Tian. SCTMS: Superpixel based color topographic map segmentation method. Journal of Visual Communication and Image Representation, 35, 78-90(2016).
[13] Z Fu, Y Sun, L Fan. Multiscale and multifeature segmentation of high-spatial resolution remote sensing images using superpixels with mutual optimal strategy. Remote Sensing, 10, 1289(2018).
[14] B Devkota, A Alsadoon, P W C Prasad. Image segmentation for early stage brain tumor detection using mathematical morphological reconstruction. Procedia Computer Science, 125, 115-123(2018).
[15] C Zhou, D Liang, X Yang. Recognition of wheat spike from field based phenotype platform using multi-sensor fusion and improved maximum entropy segmentation algorithms. Remote Sensing, 10, 246(2018).
[16] T Lei, X Jia, T Liu. Adaptive morphological reconstruction for seeded image segmentation. IEEE Transactions on Image Process, 28, 5510-5523(2019).
[17] S Zhou, Z Xu, F Liu. Method for determining the optimal number of clusters based on agglomerative hierarchical clustering. IEEE Transactions on Neural Networks & Learning Systems, 28, 3007-3017(2017).
[18] L Dragu, D Tiede, S R Levick. Esp: a tool to estimate scale parameter for multiresolution image segmentation of remotely sensed data. International Journal of Geographical Information Science, 24, 859-871(2010).
[19] M Wang, X Liu, Y Gao. Superpixel segmentation: a benchmark. Signal Processing Image Communication, 56, 28-39(2017).
[20] J Chen, Z LI, B Huang. Linear spectral clustering superpixel. IEEE Transactions on Image Processing, 26, 3317-3330(2017).
[21] R Achanta, A Shaji, K Smith. Slic superpixels compared to state-of-the-art superpixel methods. IEEE Transactions on Pattern Analysis & Machine Intelligence, 34, 2274-2282(2012).