Registration of multiple stained images is a fundamental task in histological image analysis.
In supervised methods, obtaining ground-truth data with known correspondences is …

Disaster change mapping, which can provide accurate and timely changed information (eg,
damaged buildings, accessibility of road and the shelter sites) for decision makers to guide …

One task often encountered in surveillance videos is the recognition of a target—eg the
license plate of a vehicle. Often, the quality of a single video frame does not permit a reliable …

Image similarity metrics play an important role in computer vision applications, as they are
used in image processing, computer vision and machine learning. Furthermore, those …

In this article, a unified framework based on rank minimization (UFRM) is proposed for use
with multiangle multi/hyperspectral remote sensing images, which simultaneously integrates …

Image registration problem often arises in microscopy when analyzing cell images. The most
popular registration methods are rigid methods that use affine transformations. These …

進化型演算法經常被使用在訓練模糊類神經網路參數方面, 主要是因為該方法有並行搜尋的技術
. 不過目前此類型的方法有著無法拓展到多數量的訓練參數以及低效率的調整模糊法則問題 …

In this paper, we propose Evidence-based technique for image registration. In our previous
work, we proposed hierarchical model for image registration using Normalized Mutual …

Image alignment is considered a key problem in visual inspection applications. The main
concerns for such tasks are fast image alignment with subpixel accuracy. About this, neural …

Precise image alignment is considered a critical issue in industrial visual inspection, since it
performs an accurate pose to the object in inspected images. Recently, image alignment …