Digital image processing is an emerging tool to predict fruit quality; therefore present study was carried out to develop an image processing technique for investigating the storage life of cantaloupe. Potassium permanganate (KMnO4) impregnated materials were used to prolong the postharvest life of cantaloupe fruit and the effects of these treatments were evaluated by 3 image textural features ...

A new approach to regularization methods for image processing is introduced and developed using as a vehicle the problem of computing dense optical flow fields in an image sequence. The solution of the new problem formulation is computed with an efficient multiscale algorithm. Experiments on several image sequences demonstrate the substantial computational savings that can be achieved due to th...

Mathematical morphology interprets images as unions of individually shaped and superpositioned coherent structures. Within this framework, reconstruction filters preserve shapes of image structures that correspond to given base structures, while other structures are removed. This shape-selective transform enables consistent processing of visually perceivable image structures, e.g. of those imag...

self-affine maps were successfully used for edge detection, image segmentation, and contour extraction. they belong to the general category of patch-based methods. particularly, each self-affine map is defined by one pair of patches in the image domain. by minimizing the difference between these patches, the optimal translation vector of the self-affine map is obtained. almost all image process...

gesture and motion recognition are needed for a variety of applications. the use of human hand motions as a natural interface tool has motivated researchers to conduct research in the modeling, analysis and recognition of various hand movements. in particular, human-computer intelligent interaction has been a focus of research in vision-based gesture recognition. in this work, we introduce a 3-...

A large portion of image contours is characterized by local properties such as sharp variations of the image intensity across the contour. However, the integration of local image descriptors estimated by using these local properties into curvilinear descriptors is a dii-cult problem from a theoretical perspective because of the combinatorially large number of possible curvilinear descriptors. A...

A new approach to regularization methods for image processing is introduced and developed using as a vehicle the problem of computing dense optical ow elds in an image sequence. Standard formulations of this problem require the computationally intensive solution of an elliptic partial diierential equation which arises from the often used \smoothness constraint" type regularization. We utilize t...

The multifractal nature of solar photospheric magnetic structures are studied using the 2D wavelet transform modulus maxima (WTMM) method. This relies on computing partition functions from the wavelet transform skeleton defined by the WTMM method. This skeleton provides an adaptive spacescale partition of the fractal distribution under study, from which one can extract the multifractal singular...

The research context of this article is the recognition and description of dynamic textures. In image processing, the wavelet transform has been successfully used for characterizing static textures. To our best knowledge, only two works are using spatio-temporal multiscale decomposition based on tensor product for dynamic texture recognition. One contribution of this article is to analyse and c...