Abstract: In the post-harvest stages of agricultural products, labor shortages and poor-quality control lead to significant market losses. The automated industries for agricultural products that use ...

Abstract: AI-powered smart image processing has transformed real-time image enhancement and analysis by greatly enhancing image quality, object detection accuracy, and computational efficiency. This ...

Abstract: With the increase in the number of remote sensing satellites and imaging modes, the amount of data for acquiring remote sensing images has greatly increased. Effectively and stably ...

Abstract: Multi-object tracking (MOT) plays a critical role in applications such as autonomous driving and surveillance. Camera-based approaches offer rich texture features for object association, ...

Abstract: The proposed paper represents a new method for fish freshness detection based on deep learning and image processing. Our approach is an effective, accurate and Non-Invasive tool to classify ...

Abstract: Texture transfer is a crucial approach in image processing which enables smooth transfer of textures between images while preserving visual qualities like color fidelity and texture details.

Abstract: The common indicators of synthetic aperture radar quality evaluation includes spatial resolution, peak side lobe ratio and integrated side lobe ratio, which are calculated by the impulse ...

Abstract: From laptop vision to medical diagnostics, picture processing is essential in lots of fields. In order to improve actual-time overall performance, this take a look at makes a speciality of ...

Abstract: With the improvement of hyperspectral image resolution, existing anomaly detection algorithms find it challenging to quickly process large volumes of hyperspectral data while fully ...

Abstract: To address the inadequate dimensional inspection accuracy caused by noise interference and edge blurring during cabin image acquisition, this paper proposes a dimensional inspection ...

Abstract: Many studies have demonstrated the vulnerability of Deep Neural Networks (DNNs) to adversarial attacks. While numerous research efforts have proposed high-performance adversarial attacks and ...

Abstract: Quantum computing offers parallel processing capabilities and resource-saving advantages, particularly useful for managing expansive datasets and complex image processing tasks. Grayscale ...