Automatic plant recognition and disease analysis may be streamlined by an image of a complete, isolated leaf as an initial input. Segmenting leaves from natural images is a hard problem. Cluttered and complex backgrounds: often composed of other leaves are commonplace. Furthermore, their appearance is highly dependent upon illumination and viewing perspective. In order to address these issues w...

models of daylight illumination and hybrid reflectance, and predicts the color of objects b scene context. The second method shows that color can be nonparamet-rically " learned " th classification methods such under different Figure 1: Samples of objects in outdoor images, along with the variation of R G B color over 100 images. Top: two matte surfaces; Middle: camouflaged military vehicle; Bo...

The appearance of an outdoor scene depends on a variety of factors such as viewing geometry, scene structure and reflectance (BRDF or BTF), illumination (sun, moon, stars, street lamps), atmospheric condition (clear air, fog, rain) and weathering (or aging) of materials. Over time, these factors change, altering the way a scene appears. A large set of images is required to study the entire vari...

The color of an image may be affected by many factors such as illumination, complex and multispectral reflections, and even the acquisition device. Especially in outdoor scenes, these conditions cannot be controlled. In order to use the information of an image, the latter must present the information as closer as possible to the original scene. Sometimes images are affected by a dominant color ...

The ability to automatically interpret images has long been one of the major challenges for modern computer vision. It is an important problem, particularly with the vast amount of image data available globally, and our need to analyse this information for content [1, 2]. This paper shows how a neural network may be trained to recognise objects in outdoor scenes. The data used are extracted fro...

In this paper, we propose a novel methodology for text detection in indoor/outdoor scene images. The proposed methodology is based on an efficient binarization and enhancement technique followed by a suitable connected component analysis procedure. Image binarization successfully process indoor/ outdoor scene images having shadows, non-uniform illumination, low contrast and large signal-depende...

A review is given of outdoor schlieren and shadowgraph imaging, beginning with an historical perspective. The optical principles of the sunlight shadowgraph method and schlieren observation by background distortion are discussed. Examples and illustrations are given of the visualization of outdoor thermal convection, combustion, and explosion phenomena. Jet aircraft and high-speed flight are fe...

The paper describes reflectance analysis of real images taken in an outdoor environment. In the past, the fundamental difficulties involved in analyzing outdoor images have prevented the use of traditional techniques for reflectance analysis such as shape from shading and photometric stereo. Those difficulties include: 1. multiple reflection components due to two light sources of different spec...