A method and system are presented for enhancing one or more images of an object, so as to increase the visibility within the images of one or more structures within the object. The object may be an anatomical region of a patient, and may include one or more reference structures, for example skeletal structures or vertebral structures, and one or more treatment targets, for example tumors or lesions. An operator, for example a top-hat filter operator, selects at least a first neighborhood and a s...

Systems and methods thereof for image correction are provided in an exemplary method, an image is received and pixels therein are read. A frequency value is calculated for each of the color scale values, representing how many pixels correspond to each of the color scale values. A color-scale threshold is acquired by limiting summation of frequency values from the brightest end to the color-scale threshold being a minimum value exceeding or equaling a ratio of pixels. Lower/upper limits are acqui...

A method for detecting edges in an image is disclosed along with corresponding apparatus and system for accurately extracting edges in the image. The edge detecting apparatus comprises a reading means, an image gray-level statistical means, an image classification means, a segmenting threshold generating means, an edge criterion determining means, and an image edge extracting means. The present invention realizes a reliable and accurate method for detecting edges in an image so as to extract edg...

In an image defect inspection method and apparatus which detects a gray level difference between corresponding portions of two images, automatically sets a threshold value based on the distribution thereof, compares the gray level difference with the threshold value, and judges one or the other of the portions to be defective if the gray level difference is larger than the threshold value, provisions are made to enhance defect detection sensitivity by correcting the threshold value when the dist...

In an image defect inspection method and apparatus which detects a gray level difference between corresponding portions of two images, automatically sets a threshold value based on the distribution thereof, compares the gray level difference with the threshold value, and judges one or the other of the portions to be defective if the gray level difference is larger than the threshold value, provisions are made to correct the threshold value when the distribution of the gray level difference is di...

A tool control system includes actuators to move the tool, a controller to permit either manual or automatic tool operation, and an output configured to display information pertaining to a position of the tool. In addition, the tool can be moved in either an independent or linked mode, the latter such that during tool operation, both sides of the tool can move substantially in unison with one another, or during system setup, detectors used to ensure coordination with of the tool to a known bench...

A method for differentiating dynamic range of image is disclosed. The method comprises the following steps. First of all, pixel numbers with the same level value of Density units D.sub.n-1 and D.sub.n are compared. Next the minimum pixel numbers of each level value of Density units D.sub.n-1 and D.sub.n are counted. Then the minimum pixel numbers of each level value of Density units D.sub.n-1 and D.sub.n are summed. Next the ratio of total minimum pixel number and total pixel number R and a spec...

A plurality of spring loaded pins is held in a main block which is moved up and down by an eccentric. The base is apertured to receive the pins and if the base is placed on a surface and the block is reciprocated, the pins protrude from the base and retract therein as the reciprocation occurs. If used on a screen type surface, the pins clean the apertures in the screen. The device can also be adapted for use in aerating lawns and the like.

A method for differentiating dynamic range of image is disclosed. The method comprises the following steps. First of all, pixel numbers with the same level value of Density units D.sub.n-1 and D.sub.n are compared. Next the minimum pixel numbers of each level value of Density units D.sub.n-1 and D.sub.n are counted. Then the minimum pixel numbers of each level value of Density units D.sub.n-1 and D.sub.n are summed. Next the ratio of total minimum pixel number and total pixel number R and a spec...

A method and system for verifying readings of contrasting elements such as bar code elements includes generating a profile of the contrasting elements; identifying a first zone of values representing a first contrasting element, a second zone of values representing a second contrasting element, and a working zone of values representing transitions between contrasting elements; detecting a change in the bar code profile indicative of an apparent transition between the contrasting elements and con...