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This study proposes a method for determining the appropriate harvesting order for densely growing wood ear mushrooms by recognizing their growth stages and harvesting priorities from depth images obtained from a stereo camera. We aim to minimize ...

Weed classification and detection is an important and critical step in the area of weed control. As weeds exist in all fields and in all seasons, it is required to perform weed control for attaining profitable and optimal crop yields. Due to ...

Since the outbreak of COVID-19, wearing masks outside has become a daily habit. In view of the current problems of low accuracy and lack of non-standard detection of mask wearing, a detection method for mask wearing based on key points is proposed. First,...

This paper proposes a body size measurement system based on deep learning for image segmentation by binocular stereovision for clothing design. A pair of binocular stereo cameras and a precise revolving platform are used to collect the stereo ...

Although Semantic segmentation is a key step of image prehension. Single use of convolutional networks for semantic segmentation makes it difficult to distinguish the same class of objects with large contour deviations, while the higher-level features ...

In the analysis of fundus images, optic disc segmentation is vital to judge eye diseases such as diabetic retinopathy and glaucoma. Improving the accuracy of optic disc segmentation is of great significance to the diagnosis of the above diseases. Based ...

In this paper, we introduce a novel application of using scene semantic image segmentation for fire emergency situation analysis. To analyse a fire emergency scene, we propose to use deep convolutional image segmentation networks to identify and ...

At present, there are more and more people suffering from retinal diseases. Doctors can diagnose and prevent eye diseases by observing the changes in the thickness of the retinal layer in OCT images. Due to the low contrast of the retinal layer boundary ...