A bintree energy approach for colour image segmentation using adaptive channel selection

A new hierarchical approach called bintree energy segmentation was presented for color image segmentation. The image features are extracted by adaptive clustering on multi-channel data at each level and used as the criteria to dynamically select the best chromatic channel, where the segmentation is carried out. In this approach, an extended direct energy computation method based on the Chan-Vese model was proposed to segment the selected channel, and the segmentation outputs are then fused with other channels into new images, from which a new channel with better features is selected for the second round segmentation. This procedure is repeated until the preset condition is met. Finally, a binary segmentation tree is formed, in which each leaf represents a class of objects with a distinctive color. To facilitate the data organization, image background is employed in segmentation and channels fusion. The bintree energy segmentation exploits color information involved in all channels data and tries to optimize the global segmentation result by choosing the ＂best＂ channel for segmentation at each level. The experiments show that the method is effective in speed, accuracy and flexibility.     

A Bintree Energy Approach for Colour Image Segmentation Using Adaptive Channel Selection

A new hierarchical approach called bintree energy segmentation was presented for color image seg-mentation. The image features are extracted by adaptive clustering on multi-channel data at each level and used as the criteria to dynamically select the best chromatic channel, where the segmentation is carried out. In this approach, an extended direct energy computation method based on the Chan-Vese model was proposed to segment the selected channel, and the segmentation outputs are then fused with other channels into new images,from which a new channel with better features is selected for the second round segmentation. This procedure is repeated until the preset condition is met. Finally, a binary segmentation tree is formed, in which each leaf represents a class of objects with a distinctive color. To facilitate the data organization, image background is employed in segmentation and channels fusion. The bintree energy segmentation exploits color information involved in all channels data and tries to optimize the global segmentation result by choosing the "best" chan-nel for segmentation at each level. The experiments show that the method is effective in speed, accuracy and flexibility.     

SBS改性沥青生产工艺参数的确定

通过SBS改性沥青实验分析,研究了对SBS改性道路沥青性能有影响的剪切时间、剪切温度、剪切速率等工艺参数。结果表明,以90“沥青为基质沥青研制的SBS改性沥青,在剪切温度180℃～190℃、剪切时间30～40min、剪切速率为5000～6000r·min^-1、发育时间2～2．5h的情况下,改性剂与基质沥青之间具有较好的相容性,改性沥青具有较高的储存稳定性和良好的路用性能。     

高温超导磁悬浮测试系统总体设计——数据采集与控制

给出了高温超导磁悬浮测试系统控制与数据采集部分的总体设计方案,并从硬件和软件两方面进行了深入细致的探讨。该方案较好地解决了如何在各种测试条件下对高温超导块材的性能进行自动测试的问题,在实际应用过程中取得了非常满意的效果。