A method is provided for modifying an image. The method comprises displaying an image, the image comprising a portion of an object; and determining if an edge of the object is in a location within the portion. The method further comprises detecting movement, in a member direction, of an operating member with respect to the edge. The method still further comprises moving, if the edge is not in the location, the object in an object direction corresponding to the detected movement; and modifying, if the edge is in the location, the image in response to the detected movement, the modified image comprising the edge in the location.

Information processing apparatus, information processing method and program

The present invention generally relates to methods and systems for (i) skin assessment based on the utilization of bioimpedance and fractional calculus and implementation of methods for skin hydration assessment based on the utilization of bioimpedance and fractional calculus and systems thereof, (ii) an Opto-Magnetic method based on RGB and gray images data as "cone - rods" principles with enhanced qualitative and quantitative parameters for analyzing water based on Opto-Magnetic properties of light-matter interaction and systems thereof, and (iii) imaging and analyzing skin based on the interaction between matter and electromagnetic radiation and implementation of an Opto-Magnetic method with enhanced qualitative and quantitative parameters for imaging and analyzing skin based on Opto-Magnetic properties of light-matter interaction and systems thereof.

Analytic methods of tissue evaluation

In embodiments of the present invention, systems and methods of a non-invasive imaging device may comprise an illumination source comprising an incident light source to direct light upon skin, and a detector for detecting the degree of polarization of light reflected from the skin. A system and method of determining a skin state may be based on an aspect of the polarization of the reflected light.

System, device and method for dermal imaging

Among other things, on a two-dimensional electronic display, a representation is shown of a scanned image of a lesion on the skin of a real human. On the two-dimensional electronic display, a recommendation is indicated of a next diagnostic or treatment step to be taken, based on a computer-implemented analysis of the scanned image.

Showing skin lesion information

According to one embodiment, an image processing apparatus includes first and second computation portions, a selection portion, a projection portion, and a weighted averaging portion. The first computation portion is configured to obtain magnitudes of correlations between a first vector and plural basis vectors. The selection portion is configured to select basis vectors from the plural basis vectors. The projection portion is configured to select a second region, obtain a first projection vector by projecting the first vector onto a subspace formed by the selected basis vectors and obtain a second projection vector for each second region by projecting a second vector onto the subspace. The second computation portion is configured to compute a distance between the first and second projection vectors. The weighted averaging portion is configured to weighted average a pixel value of the second pixel to obtain an output pixel value of a first pixel.

Image processing apparatus and method

IMAGE PROCESSING METHOD AND APPARATUS 5 An image of an individual (2) is obtained via a digital camera (1). The RGB image data is then processed to derive from the image data data representative of the distribution of chromophores resulting in the appearance of the individual (2). A .0 calculated chromophore distribution is then utilised to derive a revised chromophore distribution representing the effect of the desired cosmetic or surgical intervention or medical condition. This chromophore distribution is then processed to generate 5 an output image (34) illustrating the expected result of that intervention. The generated image (34) can be displayed simultaneously with an original image (33) so that the extent of expected improvement can be determined. ?0

Image processing method and apparatus.

An image of an individual (2) is obtained using a digital camera (1). The image data is then processed by ratio determination module (10) and an image conversion module (12) to analyse the image and determine data representative of the distribution of blood and melanin in the skin of the imaged individual. This chromophore distribution data is then processed by an image generation module (18) which generates an image representative of the expected appearance of epithelial tissue having the determined distribution of chromophores where the epithelial tissue is under fixed illumination and has a flat spatial geometry and where all the identified melanin is present solely in the epidermis. The presence of dermal melanin can then be identified by comparing the original image data and the image derived from processing the calculated chromophore distributions and identifying where the ratio of these images differs by more than a threshold, the threshold being set at a level above the amount of variation expected due to lighting and geometry differences.

Method and apparatus for detecting the presence of dermal melanin in epithelial tissue

A first image of an area of an individual's skin (2) illuminated by a light source (3) via a polarizing filter (4) is obtained by a digital camera (1) via a second polarizing filter (5) arranged to filter visible light having the same polarity as light passing through the first polarizing filter (4). This image is then processed by a computer (6) which utilises the detected levels of light and a model (15-20) of the interaction of light with chromophores present in the skin (2) to determine expected levels light returned by the illuminated area of skin (2) on the basis of determined concentrations of chromophores present in the skin. A second image of the individual's skin (2) illuminated by the light source (3) in the absence of the polarizing filter (4) is then obtained. A surface map indicative of skin texture is then determined based of the differences between the first and second images scaled by geometry data indicative of variations in the strength of illumination due to variations in surface geometry of the individual's skin (2) derived from the difference between the first obtained image and the expected appearance of the illuminated are of skin (2) based on the calculated estimated concentrations of chromophores.

Method and apparatus for measuring skin texture

A camera (1) is provided which is operable to obtain a RGB and infra-red image of an area of illuminated skin (2). The obtained image is then passed to a computer (8) which determines the manner in which light returned by points on the surface of the illuminated area of skin (2) appearing in the obtained image varies due to variations in lighting intensity and surface geometry. The infra-red channel of the obtained image is then normalized on the basis of the determined variations and a measurement of collagen thickness can then be determined utilizing the processed infra-red channel of the obtained image. The determination of variations in intensities of light returned by points on the surface of the illuminated area of skin (2) can be achieved by processing an obtained image to generate a 3-D model of the surface being imaged and using the 3-D model to select and process pre-stored lighting level data.

Method and apparatus for measuring collagen thickness

A method of obtaining a measurement of the extent of telangectasia in an area of skin is disclosed. Initially (S3-1) an image of an area of skin (2) to be analyzed is obtained. The obtained image is then processed (S3-2-S3-3) to determine blood distribution data indicative of the distribution of blood in an imaged area of skin. This blood distribution data is then converted (S3-5) using a Discrete Fourier Transform and the converted blood distribution data is then processed to obtain a measurement of the extent features in a determined distribution of blood correspond to structures of a predetermined size. The obtained measurement of the extent of telangectasia can then be combined (s3-6) with other measurements of the effects of photo-damage such as measurements of melanin disorder and collagen degradation to obtain a measurement of the extent of photo-damage.

Methods and apparatus for quantifying photo-damage

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