Research detection of mango tree type that hasn't yet-fruitful needs good result of image
segmentation. This is due it use color, texture, and shape as feature. Especially shape …

The digital representation of flowers, characterized by their vivid chromatic attributes,
establishes them as viable candidates for deployment as input imagery within the object …

In order to develop an efficient angiosperm-genus classification system, we first collected
petal image of Hibiscus, Orchis, and Prunus, by digital camera, and remove the …

Imaging is a nondestructive technology with high speed, accuracy, reliability, repeatability,
and low cost and complexity that is widely used in different sectors. The technology receives …

In this paper, a novel algorithm is proposed for the classification of flowers, such as petal
deformation intra and inter class variability, and illumination and detection of their quality …

Image mining is concerned with knowledge discovery in image databases. It is the extension
of data mining algorithms to image processing domain. Image mining plays a vital role in …

This paper aims to develop an effective flower classification approach using the technology
of feature extraction. With this regard, a fused descriptor based on Pyramid Histogram of …

Paphiopedilum Orchid Flowers (POF) are colorful wildflowers and also endangered plants
since they bloom only one time per year. There are many species with a similar appearance …

Palm oil tree is one of the sources of vegetable oil and it has become the world's biggest
need of vegetable oil comparing to other plant. The use of satellite imagery to manage the …

This research presented a novel automatic flower classification system based on computer
vision and machine learning techniques. First, we obtained in total 157 petal images of three …