Invariant features are image characteristics which remain unchanged under the action of a transformation group. We consider in this paper image rotations and translations and present algorithms for constructing invariant features. After brieey sketching the theoretical background we develop algorithms for recognizing several objects in a single scene without the necessity to segment the image b...

Visual Cryptography is a new Cryptography technique which is used to secure the images. In Visual Cryptography the Image is divided into parts called shares and then they are distributed to the participants. The Decryption side just stacking the share images gets the image. The initial model developed only for the bi-level or binary images or monochrome images. Later it was advanced to suit for...

One of the classic algorithms of mathematical morphology is the image segmentation algorithm of Rosenfeld-Pfaltz. This algorithm in its "sequential" form, seeks to mark with a common label all connected pixels in an image, where the connectivity actually used in practice is 4-connectivity or 8-connectivity. The sequential Rosenfeld-Pfaltz algorithm (RS Algorithm) algorithm was presented for bin...

The ability to produce three-dimensional (3D) microstructures is of increasing importance in the miniaturization of mechanical or fluidic devices, optical elements, self-assembling components, and tissue-engineering scaffolds, among others. Traditional photolithography, the most widely used process for microdevice fabrication, is ill-suited for 3D fabrication, because it is based on the illumin...

Abstract. The watershed transform and the morphological reconstruction are two of the most important operators for image segmentation in the framework of mathematical morphology. In many situations, the segmentation requires the classical watershed transform of a reconstructed image. In this paper, we introduce the IFT-watershed from gray scale marker a method to compute at same time, the recon...

In this paper we show how a system for performing automatic surface model acquisition from single object views can be designed. The surface acquisition process is a two step one. Firstly, the surface normals are computed using a shape-from-shading algorithm. Secondly, the field of surface normals is integrated into a 3D surface. For the surface integration step, we have performed experiments wi...

A gray scale providing easy visual interpretation of black-and-white photoscan transparencies was determined empirically from psychophysical studies conducted on 50 observers. This optimum gray scale provides equal visualization for equal countrate changes over the entire film range.

We propose a colorization tool which utilizes both minimal user input and traditional convolutional neural networks to color gray-scale images. Deep learning can only go so far in solving colorization. Our major contribution is to show how we can condense color information into a low dimensional color palette and be able to infer this color palette from minimal user input. This allows an intera...

BACKGROUND It is well known that loss of muscle mass (quantitative change) is a major change that occurs with aging. Qualitative changes in skeletal muscle, such as increased intramuscular fat, also occur as one ages. Enhanced echo intensity (EI) on ultrasonography images of skeletal muscle is believed to reflect muscle quality. Recent studies evaluating the quality of skeletal muscle using com...

Ridges and ravines are the main components constituting a "ngerprint. Traditional automatic "ngerprint identi"cation systems (AFIS) are based on minutiaematching techniques. The minutiae for "ngerprint identi"cation are de"ned by ridge termination and ridge bifurcation. Most AFIS perform ridge line following process to automatically detect minutiae based on binary or skeleton "ngerprint image. ...