… This review focuses on how image processing and machine learning can be useful for
the morphological characterization and automatic recognition of cell images captured from …

… the utility of machine learning for high-throughput data-driven plant phenotyping. With
this letter we aim to emphasize the role that image analysis and processing have in the …

… than those based on conventional machine-learning techniques. Our initial case studies
have demonstrated that such image-processing and machine-learning techniques are not only …

… This progress can be seen in an increasing number of software and hardware products on
the market as well as in a number of digital image processing and machine vision courses …

… 3D images from a source are used for analysis of the performance of the proposed
machine learning algorithm based input processing model. 1000 sample images from various …

… Therefore, we propose an image processing-based approach to diagnose the skin diseases.
This method takes the digital image of disease effect skin area then use image analysis to …

… present in every smartphone and exploit the image processing capabilities of the device for
… Image Processing for identification and the second stage involves Machine Learning for a …

… the areas of image processing and machine learning have given us … detection of melanoma
in dermoscopy images. First, we … classification stage where machine learning algorithms are …

… The objective of the paper is to provide introduction to machine learning and color based
grading algorithms, its components and current work reported on an automatic fruit grading …

… This article describes a machine learning and image processing-based evolutionary approach
for … uses image preprocessing, image enhancement, segmentation, and machine learning …