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 ...

Biomedical image registration, or geometric alignment of two-dimensional and /or three-dimensional (3-D) image data, is becoming increasingly important in diagnosis, treatment planning, functional studies, and computer-guided therapies and in biomedical research [1]. Registration is an important problem and a fundamental task in image processing technique. In the medical image processing fields...

The image processing applications in which JPL's Image processing Laboratory is active range from planetary exploration and earth applications to biomedical applications, astronomy, and scene analysis for the robotic vehicles of the future. There are several common trends that are apparent that are common to each of these applications areas, and these trends are discussed in this paper. The tre...

microfluidic flow focusing devices have been utilized for droplet generation on account of its superior control over droplet size. droplet based microfluidics addressed many scientific issues by providing a novel technological platform for applications such as biology, pharmaceutical industry, biomedical studies and drug delivery. this study numerically investigated the droplet generation proce...

3D microscopy visualization has the potential of playing a significant role in the study of 3D cellular structures in biomedical research. Such potential, however, has not been fully realized due to the difficulties of current visualization methods in coping with the unique nature of microscopy image volumes, such as low image contrast, noise and unknown transfer functions. In this paper, we pr...

Biomedical image registration, or geometric alignment of two-dimensional and /or three-dimensional (3-D) image data, is becoming increasingly important in diagnosis, treatment planning, functional studies, and computer-guided therapies and in biomedical research [1]. Registration is an important problem and a fundamental task in image processing technique. In the medical image processing fields...

Image denoising has been evolving as an essential exercise in medical imaging especially the Magnetic Resonance Imaging (MRI). The presence of noise in the biomedical images is one of the major challenge in image analysis and image processing. Denoising techniques are aimed at removing distortion or noise from the image while retaining the original quality of the image. Medical image obtained a...

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...