Multi-level image thresholding segmentation divides an image into multiple non-overlap**
regions. This paper presents a novel two-dimensional (2D) histogram-based segmentation …

Gravitational search algorithm is a population-based optimization method. To address its
low search performance and premature convergence, a novel variant called adaptive …

Automatic image segmentation becomes very crucial for tumor detection in medical image
processing. In general, manual and semi automatic segmentation techniques require more …

Illumination invariance is one of the most challenging features to obtain in the facial
recognition system. Normalization of lightening is a way to solve this problem. Low light is …

The dental panoramic radiography is one of dental imaging that used to visualize the
entirety of the maxilla and mandible jaws on the one image planes. Although the direct …

Food image recognition system has various applications now a day. In this paper we have
used machine learning supervised approach and Support Vector Machine to classify …

Retinex-based algorithms, drawing inspiration from the human visual system biology, have
emerged as favored techniques in literature for enhancing low-light images. These …

Low contrast and poor quality images are the main problems in the medical field. Wavelet
transform based techniques are of greater interest because of their performance over …

In medical domain the high quality image data is maintained with the help of highly efficient
servers across the network. There are some areas of medicine where it is sufficient to …

Image enhancement can effectively improve the perception of information from images. This
paper provides a comparative study of enhancement approaches applied to digital images …