Active contour models are popular and widely used for a variety of image segmentation
applications with promising accuracy, but they may suffer from limited segmentation …

Traditional sparse image models treat color image pixel as a scalar, which represents color
channels separately or concatenate color channels as a monochrome image. In this paper …

This paper presents a study of vehicle detection from high-resolution aerial images. In this
paper, a superpixel segmentation method designed for aerial images is proposed to control …

Accurate image segmentation is an essential step in image analysis and understanding,
where active contour models play an important part. Due to the noise, low contrast and …

In this paper we introduce a new shape-driven approach for object segmentation. Given a
training set of shapes, we first use deep Boltzmann machine to learn the hierarchical …

This paper presents an algorithm for vehicle detection in high-resolution aerial images
through a fast sparse representation classification method and a multiorder feature …

Sparse representations have been extended to color image processing. However, existing
sparse models treat each color image pixel either as a scalar which loses color structures or …

Digital transformation has brought radical changes in several domains. Particularly, image
processing techniques have been generally used in medical, security, and monitoring …

Recently sparse representations over learned dictionaries have been proven to be a very
successful representation method for many image processing applications. This paper …

Multispectral images can provide more faithful representations for real scenes than the
traditional images and improve the performance of image restoration tasks. In this paper, we …