Purpose In the past few decades, the content-based image retrieval (CBIR), which focuses
on the exploration of image feature extraction methods, has been widely investigated. The …

Image retrieval is an important research topic in pattern recognition and computer vision. We
propose a novel content-based image retrieval method. At the image description stage, our …

Shape is an essential visual feature of an image and it is widely used to describe image
content in image classification and retrieval. In this paper, two new Fourier-based …

Background: Image retrieval has a significant role in present and upcoming usage for
different image processing applications where images within a desired range of similarity …

As grading results of apples based on the single feature such as size, shape or color are not
accurate, this paper proposes a multi-feature information fusion method based on BP neural …

The shape encoding of geospatial objects is a key problem in the fields of cartography and
geoscience. Although traditional geometric-based methods have made great progress, deep …

Current industrial surface inspection systems are capable of detecting various defects and
producing images of them. The defect images are collected into large image databases …

Since shape is one of the important low level features of any Content Based Image Retrieval
(CBIR) system, this paper proposes a new edge based shape feature representation method …

We present a novel spatio-temporal descriptor to efficiently represent a video object for the
purpose of content-based video retrieval. Features from spatial along with temporal …

We introduce a new multiscale Fourier-based object description in 2-D space using a low-
pass Gaussian filter (LPGF) and a high-pass Gaussian filter (HPGF), separately. Using the …