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

Abstract: Present day innovative technologies like object identification, image division and photo creation are based different values of high-resolution picture processing. In the last few years, ...

Abstract: A three-way clustering algorithm based on image processing is proposed by combining blurring and sharpening operations in digital image processing. The proposed algorithm quantifies the ...

Abstract: underwater object detection and recognition are critical technologies in marine science and engineering, enabling advancements in environmental monitoring, resource exploration, and ...