Introduction: Accurate identification of cherry maturity and precise detection of harvestable cherry contours are essential for the development of cherry-picking robots. However, occlusion, lighting ...

Aiming at the problem of inaccurate fruit recognition and fruit diameter detection in the persimmon inspection process, this research proposes a novel persimmon accurate recognition and fruit diameter ...

Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering algorithms to a ...

What OpenAI’s new image generator means for our future ABC News contributor Mike Muse discusses the new development in artificial intelligence that can turn your favorite photos into realistic-looking ...

The remarkable performance of large multimodal models (LMMs) has attracted significant interest from the image segmentation community. To align with the next-token-prediction paradigm, current ...

Abstract: Segmentation of brain magnetic resonance imaging (MRI) data plays an important role in the computer-aided diagnosis and neuroscience research. Fuzzy c-means (FCM) clustering algorithm is one ...

Abstract: Traditional fuzzy c-means (FCM) algorithm, a popular method in data clustering and image segmentation, is known to be sensitive to noise and cluster size, as it does not consider any spatial ...