With the rapid development of intelligent traffic information monitoring technology, accurate identification vehicles, pedestrians and other objects on road has become particularly important. Therefore, in order to improve recognition classification accuracy image complex scenes, this paper proposes a segmentation method semantic redefine using boundary region. First, we use SegNet model obtain...

Abstract Aiming at the problems of low detection accuracy and blurred object edges in current salient based on background algorithms, a new algorithm boundary prior to estimate is proposed. Firstly, super-pixel image segmentation (SLIC) used segment into super-pixels. According theory that foreground are relative, estimated by using four-edges image; At same time, an optimal fusion proposed fus...

For the mosaicking of multiple remote sensing images, obtaining optimal stitching line in overlapping region is a key step creating seamless mosaic image. However, for very large computation finding seamlines involves huge amount image pixels. To handle this issue, we propose stepwise strategy to obtain pixel-level lines images via an upscaling–downscaling sampling procedure. First, resolution ...

Hyperspectral image change detection (HSI-CD) is an interesting task in the Earth’s remote sensing community. However, current HSI-CD methods are feeble at detecting subtle changes from bitemporal HSIs, because decision boundary partially stretched by strong so that ignored. In this paper, we propose a superpixel-by-superpixel clustering framework (SSCF), which avoids confusion of different and...

Abstract In breast cancer image analysis, reliable segmentation of the nuclei is still an open-ended research problem. this paper, a new clustering-based method presented. First, proposed pre-processes histopathology through SLIC method. Then, novel variant multi-objective grey wolf optimizer employed to group obtained super-pixels into optimal clusters. Lastly, cluster with minimum value segme...

Diabetic Retinopathy (DR) is a severe complication of chronic diabetes causing significant visual deterioration and may lead to blindness with delay being treated. Exudative diabetic maculopathy, form macular edema where hard exudates (HE) develop, frequent cause in DR. The detection HE comprises role the DR diagnosis. In this paper, an automatic method based on superpixel multi-feature extract...

Using high-resolution satellite image to detect change has been a hotspot in the field of remote sensing for long time series. The detection method combining feature extraction and machine learning could extract information effectively, but manual sample selection is huge workload wide range images, it also difficult ensure accuracy pre-detection using single difference image. Therefore, this p...

The classification performance is highly affected because hyperspectral images include many bands, have high dimensions, and few labeled training samples. This challenge reduced by using rich spatial information an effective classifier. classifiers in this study are BERT-based (Bidirectional Encoder Representations from Transformers) models, which recently been applied natural language processi...

Gastric cancer is the third-most-common cause of cancer-related deaths in world. Fortunately, it can be detected using endoscopy equipment. Computer-aided diagnosis (CADx) systems help clinicians identify from gastric diseases more accurately. In this paper, we present a CADx system that distinguishes and classifies pre-cancerous conditions, such as polyps, ulcers, gastritis, bleeding. The uses...